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NEW QUESTION: 1
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 next of the scenario is exactly the same in each question in this series.
Start of repeated scenario
Contoso, Ltd. has Microsoft SQL Server databases that support a custom application. The current SQL Server environment consists of two servers: ContosoSQL1 and ContosoSQL2. These two servers participate in an Always On Availability Group named ContosoAG1 that is configured to use synchronous-commit with automatic failover. The secondary replica is not configured for read-only access.
The application performs both transactional processing and historical data retrieval in a database named ContosoDB. The application includes an inventory management module. The inventory management module and database have experienced performance issues.
Users report that a query named InventoryQuery1 takes a long time to complete. The query is shown as follows:
SELECT ProductNumber, Name, ProductLine
FROM Production.Product
WHERE ProductNumber = N'<specific product>'
The query plan used by SQL Server for this query is shown in the exhibit. (Click the Exhibit tab.) Various performance issues, including frequent long-term blocking episodes, prevent business users from completing their daily tasks. You suspect the database resources could be responsible. You must create Blocking reports for the ContosoDB database to identify issues.
Exhibit.

You plan to use Extended Events to review all Transact-SQL statements that are run against the ContosoSQL1 instance. The output from the Extended Events session must contain both start and stop events and must be written to a file. You must configure the Extended Events session to minimize possible data loss and reduce the effect on server performance.
You plan to deploy an additional secondary replica named ContosoSQL3 to ContosoAG1. Read-only traffic must be load-balanced between the two secondary replicas, regardless of which instance is the primary replica.
Contoso plans to add an additional dedicated reporting system that will rely on real-time data from the transactional databases.
The company plans to improve their high availability/disaster recovery (HA/DR) solution. As part of the planned improvements, you will back up all databases from ContosoSQL1 directly to an off-site location.
End of repeated scenario
You need to identify the issue with tempdb
What should you do?
A. Monitor for high or higher-than-normal I/O wait times on tempdb data files.
B. Review results from the sys. dm_db_file_space_usage Dynamic Management View (DMV).
C. Use query Store to observe query performance within tempdb.
D. Monitor for excessive blocking on the instance.
Answer: B
Explanation:
Explanation
Scenario:
Various performance issues, including frequent long-term blocking episodes, prevent business users from completing their daily tasks. You suspect the tempdb database resources could be responsible.
How to Monitor tempdb use
Running out of disk space in tempdb can cause significant disruptions in the SQL Server production environment and can prevent applications that are running from completing operations. You can use the sys.dm_db_file_space_usage dynamic management view to monitor the disk space that is used in the tempdb files.

NEW QUESTION: 2
애플리케이션은 수백 곳의 사무실에서 많은 직원을 위해 급여 정보를 DynamoDB에 매일 밤 저장합니다. 항목 속성은 개인 이름, 사무실 식별자 및 누적 일일 시간으로 구성됩니다. 관리자는 사무실에서 근무하는 다양한 이름의 보고서를 실행합니다. 하나의 쿼리입니다. "A에서 E로 시작하는 이름은이 사무실의 모든 항목을 반환하십시오." 이 쿼리의 프로비저닝 된 처리량에 가장 적은 영향을주는 테이블 구성은 무엇입니까?
A. name 속성에 범위 인덱스가 있고 사무실 식별자에 해시 인덱스가 있도록 테이블을 구성하십시오.
B. 사무실 식별자 속성에서 해시 인덱스 구성 및 범위 인덱스 없음
C. name 속성에 범위 색인이없는 해시 색인 구성
D. name 속성에 해시 인덱스가 있고 사무실 식별자에 범위 인덱스가 있도록 테이블을 구성하십시오.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.CoreComponents.html Partition key and sort key - Referred to as a composite primary key, this type of key is composed of two attributes. The first attribute is the partition key, and the second attribute is the sort key. DynamoDB uses the partition key value as input to an internal hash function. The output from the hash function determines the partition (physical storage internal to DynamoDB) in which the item will be stored. All items with the same partition key value are stored together, in sorted order by sort key value.

NEW QUESTION: 3
You are building a linear model with over 100 input features, all with values between -1 and 1. You suspect that many features are non-informative. You want to remove the non-informative features from your model while keeping the informative ones in their original form. Which technique should you use?
A. Use Principal Component Analysis to eliminate the least informative features.
B. After building your model, use Shapley values to determine which features are the most informative.
C. Use L1 regularization to reduce the coefficients of uninformative features to 0.
D. Use an iterative dropout technique to identify which features do not degrade the model when removed.
Answer: B