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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Get 2V0-31.24 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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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 2V0-31.24 Routing & Switching Network Devices certified professional. But the professional knowledge is not enough to pass, you need to have a strong grip on recommended 2V0-31.24 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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
VMware 2V0-31.24 Real Exam Both of them can simulate the actual test and let you practice in a real test environment, VMware 2V0-31.24 Real Exam We will promptly provide feedback to you and we sincerely help you to solve the problem, VMware 2V0-31.24 Real Exam Each of us is dreaming of being the best, but only a few people take that crucial step, Our 2V0-31.24 exam questions have many advantages, I am going to introduce you the main advantages of our 2V0-31.24 study materials, I believe it will be very beneficial for you and you will not regret to use our 2V0-31.24 learning guide.
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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. SCADA system
B. White and black listing
C. Trusted OS
D. Version control
Answer: C
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 port-channel 10
switchport
switchport mode trunk
B. interface port-channel 10
no switchport
ip address 172.16.0.1.255.255.255.0
C. interface GigabitEthernet0/0/1
channel-group 10 mode auto
D. interface GigabitEthernet0/0/1
channel-group 10 mode active
E. interface GigabitEthernet0/0/1
channel-group 10 mode on
Answer: B,D
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
We offer 2V0-31.24 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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Three Month free update 2V0-31.24 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 2V0-31.24 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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
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NEW QUESTION: 4
-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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
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NEW QUESTION: 4
Exam. I just visited Utazzkalandmackoval and bought their perfect and updated exam dumps for my 2V0-31.24 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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
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. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
C. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
D. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships