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NEW QUESTION: 1
新しいSQL Server 2014インスタンス用の監視アプリケーションを設計しています。
インスタンスに対して発生する最も頻度の高い10の待機タイプを表示するレポートを生成するための解決策を推奨する必要があります。
あなたは推薦に何を含めるべきですか？複数の回答を選択することで目的を達成することができます。最良の答えを選択してください。
A. DBCC SQLPERF（WAITSTATS）コマンド
B. SQL Serverプロファイラ
C. SQL Serverのエラーログ
D. sys.dm_os_wait_stats動的管理ビュー
Answer: D
Explanation:
Explanation
sys.dm_os_wait_stats
Returns information about all the waits encountered by threads that executed. You can use this aggregated view to diagnose performance issues with SQL Server and also with specific queries and batches.
Columns include:
waiting_tasks_count
Number of waits on this wait type.
This counter is incremented at the start of each wait.

NEW QUESTION: 2
DRAG DROP
You are the database administrator for a Microsoft SQL Server instance. You develop an Extended Events package to look for events related to application performance.
You need to change the event session to include SQL Server errors that are greater than error severity 15.
Which five Transact-SQL segments should you use to develop the solution? To answer, move the appropriate Transact-SQL segments from the list of Transact-SQL segments to the answer area and arrange them in the correct order.

Answer:
Explanation:

Step 1: ALTER EVENT SESSION Contoso1 ON SERVER
Step 2: ADD EVENT ...
Step 3: (ACTION ...
Step 4: WHERE...
Step 5: ) GO
Example: To start an Extended Events sessions in order to trap SQL Server errors with severity greater than 10,just run the following script:
CREATE EVENT SESSION [error_trap] ON SERVER
ADD EVENT sqlserver.error_reported
(
ACTION
(package0.collect_system_time,package0.last_error,sqlserver.client_app_name,sqlserver.client_hostna me,sqlserver.database_id,sqlserver.database_name,sqlserver.nt_username, sqlserver.plan_handle,sqlserver.query_hash,sqlserver.session_id,sqlserver.sql_text,sqlserver.tsql_frame
,sqlserver.tsql_stack,sqlserver.username)
WHERE ([severity]>10)
)
ADD TARGET package0.event_file
(
SET filename=N'D:\Program Files\Microsoft SQL
Server\MSSQL11.MSSQLSERVER\MSSQL\XEvents\error_trap.xel'
)
WITH
(
STARTUP_STATE=OFF
)
GO
References: http://sqlblog.com/blogs/davide_mauri/archive/2013/03/17/trapping-sql-server-errors-with-extended-events.aspx

NEW QUESTION: 3
A user configured a Cisco Identity Service Engine and switch to work with downloadable access list for wired dot1x users, though it is failing to work. Which command must be added to address the issue?
A. dot1x pae authenticator
B. ip dhcp snooping
C. ip device tracking
D. aaa authentication dot1x default group radius
Answer: C

NEW QUESTION: 4
A mortgage company has a microservice for accepting payments. This microservice uses the Amazon DynamoDB encryption client with AWS KMS managed keys to encrypt the sensitive data before writing the data to DynamoDB. The finance team should be able to load this data into Amazon Redshift and aggregate the values within the sensitive fields. The Amazon Redshift cluster is shared with other data analysts from different business units.
Which steps should a data analyst take to accomplish this task efficiently and securely?
A. Create an AWS Lambda function to process the DynamoDB stream. Decrypt the sensitive data using the same KMS key. Save the output to a restricted S3 bucket for the finance team. Create a finance table in Amazon Redshift that is accessible to the finance team only. Use the COPY command to load the data from Amazon S3 to the finance table.
B. Create an AWS Lambda function to process the DynamoDB stream. Save the output to a restricted S3 bucket for the finance team. Create a finance table in Amazon Redshift that is accessible to the finance team only. Use the COPY command with the IAM role that has access to the KMS key to load the data from S3 to the finance table.
C. Create an Amazon EMR cluster with an EMR_EC2_DefaultRole role that has access to the KMS key.
Create Apache Hive tables that reference the data stored in DynamoDB and the finance table in Amazon Redshift. In Hive, select the data from DynamoDB and then insert the output to the finance table in Amazon Redshift.
D. Create an Amazon EMR cluster. Create Apache Hive tables that reference the data stored in DynamoDB. Insert the output to the restricted Amazon S3 bucket for the finance team. Use the COPY command with the IAM role that has access to the KMS key to load the data from Amazon S3 to the finance table in Amazon Redshift.
Answer: B