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QUESTION NO: 1
A Developer needs to design an application running on AWS that will be used to consume
Amazon SQS messages that range from 1 KB up to 1GB in size.
How should the Amazon SQS messages be managed?
A. Use Amazon EFS and the Amazon SQS CLI.
B. Use Amazon S3 and the Amazon SQS Extended Client Library for Java.
C. Use Amazon S3 and the Amazon SQS CLI.
D. Use Amazon EBS and the Amazon SQS CLI.
Answer: B
QUESTION NO: 2
Which features can be used to restrict access to data in S3? Choose 2 answers
A. Set an S3 Bucket policy.
B. Use S3 Virtual Hosting
C. Create a CloudFront distribution for the bucket
D. Set an S3 ACL on the bucket or the object.
E. Enable IAM Identity Federation.
Answer: A,D
QUESTION NO: 3
A Developer is investigating an issue whereby certain requests are passing through an Amazon
API Gateway endpoint /MyAPI, but the requests do not reach the AWS Lambda function backing
/MyAPI. The Developer found that a second Lambda function sometimes runs at maximum concurrency allowed for the given AWS account.
How can the Developer address this issue?
A. Add another API Gateway stage for /MyAPI, and shard the requests
B. Reduce the throttling limits in the API Gateway /MyAPI endpoint
C. Configure the second Lambda function's concurrency execution limit
D. Manually reduce the concurrent execution limit at the account level
Answer: B
QUESTION NO: 4
A company is building an application to track athlete performance using an Amazon
DynamoDB table. Each item in the table is identified by a partition key (user_id) and a sort key
(sport_name). The table design is shown below:
(Note: Not all table attributes are shown)
A Developer is asked to write a leaderboard application to display the top performers (user_id) based on the score for each sport_name.
What process will allow the Developer to extract results MOST efficiently from the DynamoDB table?
A. Create a local secondary index with a primary key of sport_name and a sort key of score and get the results based on the score attribute.
B. Use a DynamoDB query operation with the key attributes of user_id and sport_name and order the results based on the score attribute.
C. Use a DynamoDB scan operation to retrieve scores and user_id based on sport_name, and order the results based on the score attribute.
D. Create a global secondary index with a partition key of sport_name and a sort key of score, and get the results
Answer: D
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/SecondaryIndexes.html
https://docs.aws.amazon.com/zh_cn/amazondynamodb/latest/developerguide/GSI.html
QUESTION NO: 5
A Developer has implemented a Lambda function that needs to add new customers to an RDS database that is expected to run hundreds of times per hour. The Lambda function is configured to use 512MB of RAM and is based on the following pseudo code:
After testing the Lambda function, the Developer notices that the Lambda execution time is much longer than expected. What should the Developer do to improve performance?
A. Move the database connection and close statement out of the handler. Place the connection in the global space.
B. Replace RDS wit Amazon DynamoDB to implement control over the number of writes per second.
C. Increase the amount of RAM allocated to the Lambda function, which will increase the number of threads the Lambda can use.
D. Increase the size of the RDS database to allow for an increased number of database connections each hour.
Answer: A
Explanation
Refer AWS documentation - Lambda Best Practices
Take advantage of Execution Context reuse to improve the performance of your function. Make sure any externalized configuration or dependencies that your code retrieves are stored and referenced locally after initial execution. Limit the re-initialization of variables/objects on every invocation.
Instead use static initialization/constructor, global/static variables and singletons. Keep alive and reuse connections (HTTP, database, etc.) that were established during a previous invocation.
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Updated: May 28, 2022