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NEW QUESTION: 1
A retail company's data analytics team recently created multiple product sales analysis dashboards for the average selling price per product using Amazon QuickSight. The dashboards were created from .csv files uploaded to Amazon S3. The team is now planning to share the dashboards with the respective external product owners by creating individual users in Amazon QuickSight. For compliance and governance reasons, restricting access is a key requirement. The product owners should view only their respective product analysis in the dashboard reports.
Which approach should the data analytics team take to allow product owners to view only their products in the dashboard?
A. Separate the data by product and use S3 bucket policies for authorization.
B. Separate the data by product and use IAM policies for authorization.
C. Create a manifest file with row-level security.
D. Create dataset rules with row-level security.
Answer: B
NEW QUESTION: 2
HOTSPOT
You are developing an application.
The application must be deployed from Team Foundation Server after a successful build is completed.
The Process tab of the Build Definition screen is shown in the exhibit. (Click the Exhibit button.)
You need to configure the automated deployment.
In which section should you define the parameters for the automated deployment? (To answer, select the appropriate section in the answer area.)
Answer:
Explanation:
NEW QUESTION: 3
A company would like to implement a serverless application by using Amazon API Gateway, AWS Lambda and Amazon DynamoDB. They deployed a proof of concept and stated that the average response time is greater than what their upstream services can accept Amazon CloudWatch metrics did not indicate any issues with DynamoDB but showed that some Lambda functions were hitting their timeout.
Which of the following actions should the Solutions Architect consider to improve performance?
(Choose two.)
A. Create an Amazon ElastiCache cluster running Memcached, and configure the Lambda function for VPC integration with access to the Amazon ElastiCache cluster.
B. Configure the AWS Lambda function to reuse containers to avoid unnecessary startup time.
C. Increase the amount of memory and adjust the timeout on the Lambda function. Complete performance testing to identify the ideal memory and timeout configuration for the Lambda function.
D. Increase the amount of CPU, and adjust the timeout on the Lambda function. Complete performance testing to identify the ideal CPU and timeout configuration for the Lambda function.
E. Enable API cache on the appropriate stage in Amazon API Gateway, and override the TTL for individual methods that require a lower TTL than the entire stage.
Answer: C,E
Explanation:
https://lumigo.io/blog/aws-lambda-timeout-best-practices/
A: While this will improve the situation, it may not be enough.
B: Memory - The amount of memory available to the function during execution. Choose an amount between 128 MB and 3,008 MB in 64 MB increments. Lambda allocates CPU power linearly in proportion to the amount of memory configured. At 1,792 MB, a function has the equivalent of 1 full vCPU (one vCPU-second of credits per second).
All calls made to AWS Lambda must complete execution within 900 seconds. The default timeout is 3 seconds, but you can set the timeout to any value between 1 and 900 seconds.
C: The problem is not with the DB.
D: AWS API Gateway has a max timeout of 29 seconds for all integration types, which includes Lambda as well. It means that any API call coming through API Gateway cannot exceed 29 seconds. It makes sense for most of the APIs except for few high computational ones.
E: Increase the memory not CPU.
NEW QUESTION: 4
-Number of desktops (minimum) = 200 -Number of desktops (maximum) = 500 -Number of spare, powered-on desktops = 5
A. Option D
B. Option C
C. Option A
D. Option B
Answer: B
Explanation: