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NEW QUESTION 31
During non-peak hours, a Developer wants to minimize the execution time of a full Amazon DynamoDB table scan without affecting normal workloads. The workloads average half of the strongly consistent read capacity units during non-peak hours.
How would the Developer optimize this scan?

  • A. Use sequential scans
  • B. Use parallel scans while limiting the rate
  • C. Increase read capacity units during the scan operation
  • D. Change consistency to eventually consistent during the scan operation

Answer: B

Explanation:
Explanation
Parallel scans would help improve the scan performance while using limit parameter the provisioned throughput consumed can be limited.
Refer AWS documentation - DynamoDB Parallel Scan
By default, the Scan operation processes data sequentially. DynamoDB returns data to the application in 1 MB increments, and an application performs additional Scan operations to retrieve the next 1 MB of data.
The larger the table or index being scanned, the more time the Scan will take to complete. In addition, a sequential Scan might not always be able to fully utilize the provisioned read throughput capacity: Even though DynamoDB distributes a large table's data across multiple physical partitions, a Scan operation can only read one partition at a time. For this reason, the throughput of a Scanis constrained by the maximum throughput of a single partition.
To address these issues, the Scan operation can logically divide a table or secondary index into multiple segments, with multiple application workers scanning the segments in parallel. Each worker can be a thread (in programming languages that support multithreading) or an operating system process.
A parallel scan with a large number of workers can easily consume all of the provisioned throughput for the table or index being scanned. It is best to avoid such scans if the table or index is also incurring heavy read or write activity from other applications.
To control the amount of data returned per request, use the parameter. This can help prevent situations where one worker consumes all of the provisioned throughput, at the expense of all other workers.

 

NEW QUESTION 32
A user has launched five instances with ELB. How can the user add the sixth EC2 instance to ELB?

  • A. The user can add the instance and change the ELB config file.
  • B. The ELB can only have a maximum of five instances.
  • C. The user must stop the ELB and add the sixth instance.
  • D. The user can add the sixth instance on the fly.

Answer: D

Explanation:
Elastic Load Balancing automatically distributes incoming traffic across multiple EC2 instances.
You create a load balancer and register instances with the load balancer in one or more Availability Zones. The load balancer serves as a single point of contact for clients. This enables you to increase the availability of your application. You can add and remove EC2 instances from your load balancer as your needs change, without disrupting the overall flow of information.
http://docs.aws.amazon.com/ElasticLoadBalancing/latest/DeveloperGuide/SvcIntro.html

 

NEW QUESTION 33
A Developer is creating a web application that requires authentication, but also needs to support guest access to provide users limited access without having to authenticate. What service can provide support for the application to allow guest access?

  • A. Amazon Cognito with unauthenticated access enabled
  • B. IAM with SAML integration
  • C. Amazon Directory Service
  • D. IAM temporary credentials using AWS STS.

Answer: A

Explanation:
https://aws.amazon.com/cognito/faqs/

 

NEW QUESTION 34
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