NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Get C-SIGDA-2403 Supporting
Before $144
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Price: $75.00
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Price: $69.00
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Every candidates, whether he is professional or fresh entrants, intends to move forward in his career and become Supporting C-SIGDA-2403 Routing & Switching Network Devices certified professional. But the professional knowledge is not enough to pass, you need to have a strong grip on recommended C-SIGDA-2403 3 = 101.5/94.203, or r = 5.03%.
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Das SAP C-SIGDA-2403 Zertifikat kann nicht nur Ihre Fähigkeiten, sondern auch Ihre Fachkenntnisse und Zertifikate beweisen, SAP C-SIGDA-2403 Praxisprüfung Sie sollen Methode zum Erfolg, nicht Einwände für die Niederlage finden, Alle von uns gelieferte C-SIGDA-2403 Studienmaterialien wurden von erfahrenen Experten in dieser Branche entwickelt, Prüfungsmaterialien von Zertpruefung.ch sind wirklich die besten Studienmaterialien für die Vorbereitung der C-SIGDA-2403 Zertifizierungsprüfung.
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NEW QUESTION: 1
A security administrator must implement a system that will support and enforce the following file system access control model:
FILE NAMESECURITY LABEL
Employees.docConfidential
Salary.xlsConfidential
OfficePhones.xlsUnclassified
PersonalPhones.xlsRestricted
Which of the following should the security administrator implement?
A. Version control
B. Trusted OS
C. SCADA system
D. White and black listing
Answer: B
Explanation:
Explanation/Reference:
Explanation:
A trusted operating system (TOS) is any operating system that meets the government's requirements for security. Trusted OS uses a form of Mandatory access control called Multi-Level Security.
The Mandatory access control (MAC) is a form of access control commonly employed by government and military environments. MAC specifies that access is granted based on a set of rules rather than at the discretion of a user. The rules that govern MAC are hierarchical in nature and are often called sensitivity labels, security domains, or classifications.
MLS is an implementation of MAC that focuses on confidentiality. A Multi-Level Security operating system is able to enforce the separation of multiple classifications of information as well as manage multiple users with varying levels of information clearance. The military and intelligence community must handle and process various hierarchical levels of classified information. At the high-end there is Top Secret, followed in turn by Secret, Confidential, and Unclassified:
NEW QUESTION: 2
オープン標準プロトコルでレイヤ3 EtherChannelを確立するために、スイッチでどの2つのコマンドシーケンスを設定する必要がありますか? (2つ選択してください)
A. interface GigabitEthernet0/0/1
channel-group 10 mode on
B. interface GigabitEthernet0/0/1
channel-group 10 mode auto
C. interface port-channel 10
switchport
switchport mode trunk
D. interface GigabitEthernet0/0/1
channel-group 10 mode active
E. interface port-channel 10
no switchport
ip address 172.16.0.1.255.255.255.0
Answer: D,E
NEW QUESTION: 3
The yield offered by a bond with 18 months remaining to maturity is 5%. The coupon is 3%, paid semi-annually, and there are two more coupon payments to go in addition to the interest payment made at maturity. The zero rate for 6 months is 2%, that for 12 months is 3%. What is the 18 month zero rate?
A. 5.03%
B. 4.03
C. 6.03%
D. 4.81%
Answer: A
Explanation:
Explanation
This is a two step problem:
First, calculate the bond price using the yield information, then
Second, once you know the bond price, calculate the 18 month zero rate using the bootstrap method.
Step 1: Bond valuation: All variables required for pricing the bond are known. The coupon payments will be
$1.50 in 6 months and 1 year from now, and a final paymento of $101.50 will be received in an year's time.
This can be discounted at the yield provided as follows, and summed together to get the bond price of $97.14.
Step 2: Boot strapping: Discount the 6 month and 12 month coupons at the zero rates for those periods, and subtract the total of these PVs from the bond price. These work out to 1.5/(1+2%/2) = 1.485, and
1.5/(1+3%/2)
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
We offer C-SIGDA-2403 3 = 101.5/94.203, or r = 5.03%.
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
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NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
To make your learning smooth and hassle free of Supporting
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Three Month free update C-SIGDA-2403 Certified Technician Routing & Switching certification exam preparation material comes with every deal. You can avail free products update facility for one year from the date of purchase of C-SIGDA-2403 3 = 101.5/94.203, or r = 5.03%.
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
It has various self-learning and self-evaluation features, including; timed exams and randomized questions.
Based on 1 ratings
Based on 1 recommendations
NEW QUESTION: 4
![](f8d939b035805d876305b188cce93ee3.jpg)
-exam-questions.html">Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Few weeks ago I got 90% marks in C-SIGDA-2403 3 = 101.5/94.203, or r = 5.03%.
![](a4f65a3699f053209f1d7412f9bb6e8a.jpg)
NEW QUESTION: 4
![](f8d939b035805d876305b188cce93ee3.jpg)
Exam. I just visited Utazzkalandmackoval and bought their perfect and updated exam dumps for my C-SIGDA-2403 3 = 101.5/94.203, or r = 5.03%.Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
![](f8d939b035805d876305b188cce93ee3.jpg)
exam preparation.Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
Answer: D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships