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NEW QUESTION 23
A developer has created a Java application that makes HTTP requests directly to AWS services. Application logging shows 5xx HTTP response codes that occ irregular intervals. The errors are affecting users.
How should the developer update the application to improve the application’s resiliency?
- A. Add additional logging to the application code.
- B. Revise the request content in the application code.
- C. Use the AWS SDK for Java to interact with AWS APIs.
- D. Scale out the application so that more instances of the application are running.
Answer: C
NEW QUESTION 24
What item operation allows the retrieval of multiple items from a DynamoDB table in a single API call?
- A. BatchGetItem
- B. GetMultipleItems
- C. GetItem
- D. GetItemRange
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_BatchGetItem.html
NEW QUESTION 25
An AWS Lambda function accesses two Amazon DynamoDB tables. A developer wants to improve the performance of the Lambda function by identifying bottlenecks in the function. How can the developer inspect the timing of the DynamoDB API calls?
- A. Place an Application Load Balancer (ALB) in front of the two DynamoDB tables. Inspect the ALB logs
- B. Limit Lambda to no more than five concurrent invocations Monitor from the Lambda console
- C. Enable AWS X-Ray tracing for the function. View the traces from the X-Ray service.
- D. Add DynamoDB as an event source to the Lambda function. View the performance with Amazon CloudWatch metrics
Answer: C
NEW QUESTION 26
When using a large Scan operation in DynamoDB, what technique can be used to minimize the impact of a scan on a table’s provisioned throughput?
- A. Use parallel scans
- B. Set a smaller page size for the scan
- C. Define a range index on the table
- D. Prewarm the table by updating all items
Answer: B
Explanation:
Reference:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-query-scan.html Because a Scan operation reads an entire page (by default, 1 MB), you can reduce the impact of the scan operation by setting a smaller page size. The Scan operation provides a Limit parameter that you can use to set the page size for your request. Each Scan or Query request that has a smaller page size uses fewer read operations and creates a “pause” between each request. For example, if each item is 4 KB and you set the page size to 40 items, then a Query request would consume only 40 strongly consistent read operations or 20 eventually consistent read operations. A larger number of smaller Scan or Query operations would allow your other critical requests to succeed without throttling.
NEW QUESTION 27
A web application is using Amazon Kinesis Streams for clickstream data that may not be consumed for up to
12 hours.
How can the Developer implement encryption at rest for data within the Kinesis Streams?
- A. Enable server-side encryption in Kinesis Streams
- B. Encrypt the data once it is at rest with a Lambda function
- C. Enable SSL connections to Kinesis
- D. Use Amazon Kinesis Consumer Library
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/streams/latest/dev/what-is-sse.html
https://aws.amazon.com/about-aws/whats-new/2017/07/amazon-kinesis-streams-introduces-server-side-encryptio
NEW QUESTION 28
……
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