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NEW QUESTION: 1
You suspect deadlocks on a database.
Which two trace flags in the Microsoft SQL Server error log should you locate? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: B,E
Explanation:
Trace flag 1204 returns the resources and types of locks participating in a deadlock and also the current command affected.
Trace flag 1222 returns the resources and types of locks that are participating in a deadlock and also the current command affected, in an XML format that does not comply with any XSD schema.
References: https://docs.microsoft.com/en-us/sql/t-sql/database-console-commands/dbcc-traceon- trace-flags-transact-sql?view=sql-server-2017

NEW QUESTION: 2
The MOST significant security concern when using flash memory (e.g., USB removable disk) is that the:
A. data cannot be backed up.
B. contents are highly volatile.
C. data can be copied.
D. device may not be compatible with other peripherals.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Unless properly controlled, flash memory provides an avenue for anyone to copy any content with ease.
The contents stored in flash memory are not volatile. Backing up flash memory data is not a control concern, as the data are sometimes stored as a backup. Flash memory will be accessed through a PC rather than any other peripheral; therefore, compatibility is not an issue.

NEW QUESTION: 3
プロジェクトマネージャーは、実行フェーズの後半にプロジェクトに参加します。問題ログを確認すると、プロジェクトマネージャーは、開始以降に多くの変更が発生したことに気付きます。これらの変更に対する抵抗と利害関係者間の不一致は、プロジェクトの背景と理由に精通していない問題として頻繁に文書化されました。プロジェクトマネージャーが次に何をすべきかを変更しますか？
A. プロジェクトチームと話し合って、利害関係者間の不一致の原因と変更の理由に関する過去の決定に関する情報を収集します。
B. 利害関係者と会って、過去の決定、意見の不一致の原因、変更の理由に関する情報を収集します
C. 変更管理計画と変更ログを確認し、計画に記載されているように変更要求が利害関係者に伝達されたことを確認します
D. これらの変更を受け入れるか拒否するかの決定がどのように行われたかについての入力については、変更管理委員会（CCB）に相談し、変更管理システムとCCBをサポートするツールを改訂します。
Answer: D

NEW QUESTION: 4
To meet new data compliance requirements, a company needs to keep critical data durably stored and readily accessible for 7 years. Data that is more than 1 year old is considered archival data and must automatically be moved out of the Amazon Aurora MySQL DB cluster every week. On average, around 10 GB of new data is added to the database every month. A database specialist must choose the most operationally efficient solution to migrate the archival data to Amazon S3.
Which solution meets these requirements?
A. Create a custom script that exports archival data from the DB cluster to Amazon S3 using a SQL view, then deletes the archival data from the DB cluster. Launch an Amazon EC2 instance with a weekly cron job to execute the custom script.
B. Use AWS Database Migration Service (AWS DMS) to continually export the archival data from the DB cluster to Amazon S3. Configure an AWS Data Pipeline process to run weekly that executes a custom SQL script to delete the archival data from the DB cluster.
C. Configure an AWS Lambda function that exports archival data from the DB cluster to Amazon S3 using a SELECT INTO OUTFILE S3 statement, then deletes the archival data from the DB cluster. Schedule the Lambda function to run weekly using Amazon EventBridge (Amazon CloudWatch Events).
D. Configure two AWS Lambda functions: one that exports archival data from the DB cluster to Amazon S3 using the mysqldump utility, and another that deletes the archival data from the DB cluster. Schedule both Lambda functions to run weekly using Amazon EventBridge (Amazon CloudWatch Events).
Answer: D