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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section. you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create a table named Products by running the following Transact-SQL statement:

You have the following stored procedure:

You need to modify the stored procedure to meet the following new requirements:
- Insert product records as a single unit of work.
- Return error number 51000 when a product fails to insert into the database.
- If a product record insert operation fails, the product information must not be permanently written to the database.
Solution: You run the following Transact-SQL statement:

Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
With X_ABORT ON the INSERT INTO statement and the transaction will be rolled back when an error is raised, it would then not be possible to ROLLBACK it again in the IF XACT_STATE() <> 0 ROLLACK TRANSACTION statement.
Note: A transaction is correctly defined for the INSERT INTO ..VALUES statement, and if there is an error in the transaction it will be caught ant he transaction will be rolled back, finally an error 51000 will be raised.
Note: When SET XACT_ABORT is ON, if a Transact-SQL statement raises a run-time error, the entire transaction is terminated and rolled back.
XACT_STATE is a scalar function that reports the user transaction state of a current running request. XACT_STATE indicates whether the request has an active user transaction, and whether the transaction is capable of being committed.
The states of XACT_STATE are:
0 There is no active user transaction for the current request.
1 The current request has an active user transaction. The request can perform any actions, including writing data and committing the transaction.
2 The current request has an active user transaction, but an error has occurred that has caused the transaction to be classified as an committable transaction.
References:
https://msdn.microsoft.com/en-us/library/ms188792.aspx
https://msdn.microsoft.com/en-us/library/ms189797.aspx

NEW QUESTION: 2

A. Option A
B. Option B
C. Option E
D. Option D
E. Option C
Answer: C
Explanation:
Explanation
Incident management (IM) is a necessary part of a security program. When effective, it mitigates business impact, identifies weaknesses in controls, and helps fine-tune response processes.
In this question, an attack has been identified and confirmed. When a server is compromised or used to commit a crime, it is often necessary toseize it for forensics analysis. Security teams often face two challenges when trying to remove a physical server from service: retention of potential evidence in volatile storage or removal of a device from a critical business process.
Evidence retentionis a problem when the investigator wants to retain RAM content. For example, removing power from a server starts the process of mitigating business impact, but it also denies forensic analysis of data, processes, keys, and possible footprints left by an attacker.
A full a bit level image, including RAM should be taken of one or more of the Linux servers. In many cases, if your environment has been deliberately attacked, you may want to take legal action against the perpetrators. In order to preserve this option, you should gather evidence that can be used against them, even if a decision is ultimately made not to pursue such action. It is extremely important to back up the compromised systems as soon as possible. Back up the systems prior to performing any actions that could affect data integrity on the original media.

NEW QUESTION: 3
会社は、大規模なデータセットを分析するためにAmazon S3でデータレイクソリューションを開発しています。このソリューションは、まれなSQLクエリのみを作成します。さらに、同社はインフラストラクチャコストを最小限に抑えたいと考えています。
これらの要件を満たすためにどのAWSサービスを使用する必要がありますか？
A. アマゾンアテナ
B. Amazon Redshift Spectrum
C. PostgreSQL用Amazon RDS
D. アマゾンオーロラ
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/whitepapers/latest/building-data-lakes/in-place-querying.html Athena is a serverless service and does not need any infrastructure to create, manage, or scale data sets. It works directly on top of Amazon S3 data sets. It creates external tables and therefore does not manipulate S3 data sources.
"You would typically use Athena for ad hoc data discovery and SQL querying, and then use Redshift Spectrum for more complex queries and scenarios where a large number of data lake users want to run concurrent BI and reporting workloads."