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NEW QUESTION: 1

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

NEW QUESTION: 2
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.
Your company has several Microsoft SOI Server instances. Each instance hosts many databases.
You observe I/O corruption on some of the instances.
You need to perform the following actions:
* Identify databases where the PAGE VERIFY option is not set.
* Configure full page protection for the identified databases.
Solution: You run the following Transact-SQL statement:

For each database that you identify, you run the following Transact-SQL statement:

Does the solution meet the goal?
A. NO
B. Yes
Answer: A
Explanation:
Explanation
We should check for CHECKSUM not TORN_PAGE_DETECTION
References:
https://docs.microsoft.com/en-us/sql/relational-databases/policy-based-management/set-the-page-verify-database

NEW QUESTION: 3
A legacy web application stores access logs in a proprietary text format. One of the security requirements is to search application access events and correlate them with access data from many different systems. These searches should be near-real time.
Which solution offloads the processing load on the application server and provides a mechanism to search the data in near-real time?
A. Install the Amazon Kinesis Agent on the application server, configure it to monitor the log files, and send it to a Kinesis stream. Configure Kinesis to transform the data by using an AWS Lambda function, and forward events to Amazon ES for analysis. Use the Elasticsearch API for querying the data.
B. Use the third-party file-input plugin Logstash to monitor the application log file, then use a custom dissect filter on the agent to parse the log entries into the JSON format. Output the events to Amazon ES to be searched. Use the Elasticsearch API for querying the data.
C. Install the Amazon CloudWatch Logs agent on the application server and use CloudWatch Events rules to search logs for access events. Use Amazon CloudSearch as an interface to search for events.
D. Upload the log files to Amazon S3 by using the S3 sync command. Use Amazon Athena to define the structure of the data as a table, with Athena SQL queries to search for access events.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/zh_cn/streams/latest/dev/writing-with-agents.html