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NEW QUESTION: 1

A. SUSE with KVM
B. Ubuntu
C. Red Hat free edition
D. Integrated Facility for Linux (IFL)
Answer: A
Explanation:
See the table at https://www01.ibm.com/support/knowledgecenter/linuxonibm/liaam/liaamdistros.htm

NEW QUESTION: 2
HOTSPOT
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 exactly the same in each question in this series.
You maintain a Microsoft SQL Server instance that contains the following databases SalesDb1, SalesDb2, and SalesDb3. Each database has tabled named Products and Sales. The following table shows the configuration of each database.

The backup strategies for each database are described in the following table.

Each full or differential backup operation writes into a new file and uses a different sequence number.
You observe the following database corruption issues.

SalesDb3 reports a number of database corruption issues related to error 823 and 824 when reading data pages. You must display the following information about the corrupted pages:
database name
impacted file id
impacted file physical name
impacted page id
event type that identifies the error type
error count
Users report performance issues when they run queries against SalesDb2. You plan to monitor query statistics and execution plans for SalesDb2 by using Query Store. The monitoring strategy must meet the following requirements:
Perform automatic data cleanup when query store disk usage reaches 500 megabyte (MB).
Capture queries based on resource consumption.
Use a stale query threshold value of 60 days.
The query optimizer generates suboptimal execution plans for a number of queries on the Sales table in SalesDb2. You will create a maintenance plan that updates statistics for the table. The plan should only update statistics that were automatically created and have not been updated for 30 days. The update should be based on all data in the table.
You need to monitor query statistics and execution plans for SalesDb2.
Which options should you set for the Query Store configuration? To answer, select the appropriate options in the answer area.


Answer:
Explanation:
Operation Mode: Read-Write
Query Store Capture Mode: Auto
Size Based Cleanup Mode: AUTO
Operation Mode: Read-Write
It is strongly recommended to activate size-based cleanup to makes sure that Query Store always runs in read-write mode and collects the latest data.
Query Store Capture Mode: Auto
Auto - Infrequent queries and queries with insignificant compile and execution duration are ignored.
Thresholds for execution count, compile and runtime duration are internally determined.
Size Based Cleanup Mode: AUTO
It is strongly recommended to activate size-based cleanup to makes sure that Query Store always runs in read-write mode and collects the latest data.
OFF - size based cleanup won't be automatically activated.
AUTO - size based cleanup will be automatically activated when size on disk reaches 90% of max_storage_size_mb. This is the default configuration value.
Size based cleanup removes the least expensive and oldest queries first. It stops at approximately 80% of max_storage_size_mb.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/system-catalog-views/sys-database-query-store-options-transact-sql
https://docs.microsoft.com/en-us/sql/relational-databases/performance/best-practice-with-the-query-store#set-the-optimal-query-capture-mode

NEW QUESTION: 3

A. Option A
B. Option D
C. Option C
D. Option B
Answer: A

NEW QUESTION: 4
View the exhibit and examine the structure of the PROMOTIONS table.

You have to generate a report that displays the promo name and start date for all promos that started after the last promo in the 'INTERNET' category.
Which query would give you the required output?
A. SELECT promo_name, promo_begin_date FROM promotionsWHERE promo_begin_date > ALL (SELECT promo_begin_dateFROM promotionsWHERE promo_category = 'INTERNET');
B. SELECT promo_name, promo_begin_date FROM promotionsWHERE promo_begin_date> ANY (SELECT promo_begin_dateFROM promotionsWHERE promo_category= 'INTERNET');
C. SELECT promo_name, promo_begin_date FROM promotionsWHERE promo_begin_date> ALL (SELECT MAX (promo_begin_date)FROM promotions) ANDpromo_category= 'INTERNET';
D. SELECT promo_name, promo_begin_date FROM promotionsWHERE promo_begin_date IN (SELECT promo_begin_dateFROM promotionsWHERE promo_category= 'INTERNET');
Answer: A