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NEW QUESTION: 1
Good information security procedures should:
A. be updated frequently as new software is released.
B. underline the importance of security governance.
C. describe security baselines for each platform.
D. define the allowable limits of behavior.
Answer: A
Explanation:
Explanation
Security procedures often have to change frequently to keep up with changes in software. Since a procedure is a how-to document, it must be kept up-to-date with frequent changes in software. A security standard such as platform baselines - defines behavioral limits, not the how-to process; it should not change frequently.
High-level objectives of an organization, such as security governance, would normally be addressed in a security policy.

NEW QUESTION: 2
What happens when you activate data in a DataStore Object (DSO)?
A. The data from Persistent Staging Area (PSA) is written to the active data and the change log.
B. The data from the InfoPackage is written to the activation queue.
C. The data from the activation queue is written to the active data and removed from the change log.
D. The data from the activation queue is written to the active data and the change log.
Answer: D

NEW QUESTION: 3
A mobile gaming application publishes data continuously to Amazon Kinesis Data Streams. An AWS Lambda function processes records from the data stream and writes to an Amazon DynamoDB table. The DynamoDB table has an auto scaling policy enabled with the target utilization set to 70%. For several minutes at the start and end of each day, there is a spike in traffic that often exceeds five times the normal load. The company notices the GetRecords.IteratorAge Milliseconds metric of the Kinesis data stream temporarily spikes to over a minute for several minutes. The AWS Lambda function writes Provisioned Throughput Exceeded Exception messages to Amazon CloudWatch Logs during these times, and some records are redirected to the dead letter queue. No exceptions are thrown by the Kinesis producer on the gaming application What change should the company make to resolve this issue?
A. Use Application Auto Scaling to set a scaling schedule to scale out write capacity on the DynamoDB table during predictable load spikes.
B. Increase the number of shards in the Kinesis data stream to increase throughput capacity.
C. Reduce the DynamoDB table auto scaling policy's target utilization to 20% to more quickly respond to load spikes.
D. Use Amazon CloudWatch Events to monitor the dead letter queue and invoke a Lambda function to automatically retry failed records.
Answer: C

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