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Amazon SAP-C01 Practice Test - Questions Answers, Page 68

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Question 671

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A company has a primary Amazon S3 bucket that receives thousands of objects every day. The company needs to replicate these objects into several other S3 buckets from various AWS accounts. A solutions architect is designing a new AWS Lambda function that is triggered when an object is created in the main bucket and replicates the object into the target buckets. The objects do not need to be replicated in real time. There is concern that this function may impact other critical Lambda functions due to Lambda’s regional concurrency limit.

How can the solutions architect ensure this new Lambda function will not impact other critical Lambda functions?

Set the new Lambda function reserved concurrency limit to ensure the executions do not impact other critical Lambda functions. Monitor existing critical Lambda functions with Amazon CloudWatch alarms for the Throttles Lambda metric.
Set the new Lambda function reserved concurrency limit to ensure the executions do not impact other critical Lambda functions. Monitor existing critical Lambda functions with Amazon CloudWatch alarms for the Throttles Lambda metric.
Increase the execution timeout of the new Lambda function to 5 minutes. Monitor existing critical Lambda functions with Amazon CloudWatch alarms for the Throttles Lambda metric.
Increase the execution timeout of the new Lambda function to 5 minutes. Monitor existing critical Lambda functions with Amazon CloudWatch alarms for the Throttles Lambda metric.
Configure S3 event notifications to add events to an Amazon SQS queue in a separate account. Create the new Lambda function in the same account as the SQS queue and trigger the function when a message arrives in the queue.
Configure S3 event notifications to add events to an Amazon SQS queue in a separate account. Create the new Lambda function in the same account as the SQS queue and trigger the function when a message arrives in the queue.
Ensure the new Lambda function implements an exponential backoff algorithm. Monitor existing critical Lambda functions with Amazon CloudWatch alarms for the Throttles Lambda metric.
Ensure the new Lambda function implements an exponential backoff algorithm. Monitor existing critical Lambda functions with Amazon CloudWatch alarms for the Throttles Lambda metric.
Suggested answer: A
asked 16/09/2024
Leandro Franklin Franklin
43 questions

Question 672

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How can you check the operational validity of your AWS CloudFormation template?

To check the operational validity, you need to attempt to create the stack.
To check the operational validity, you need to attempt to create the stack.
There is no way to check the operational validity of your AWS CloudFormation template.
There is no way to check the operational validity of your AWS CloudFormation template.
To check the operational validity, you need a sandbox or test area for AWS CloudFormation stacks.
To check the operational validity, you need a sandbox or test area for AWS CloudFormation stacks.
To check the operational validity, you need to use the aws cloudformation validate-template command.
To check the operational validity, you need to use the aws cloudformation validate-template command.
Suggested answer: A

Explanation:

In AWS CloudFormation, to check the operational validity, you need to attempt to create the stack. There is no sandbox or test area for AWS CloudFormation stacks, so you are charged for the resources you create during testing.

Reference: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-validate-template.html

asked 16/09/2024
luis lozano
35 questions

Question 673

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A company has an application that runs on a fleet of Amazon EC2 instances and stores 70 GB of device data for each instance in Amazon S3. Recently, some of the S3 uploads have been failing. At the same time, the company is seeing an unexpected increase in storage data costs. The application code cannot be modified.

What is the MOST efficient way to upload the device data to Amazon S3 while managing storage costs?

Upload device data using a multipart upload. Use the AWS CLI to list incomplete parts to address the failed S3 uploads. Enable the lifecycle policy for the incomplete multipart uploads on the S3 bucket to delete the old uploads and prevent new failed uploads from accumulating.
Upload device data using a multipart upload. Use the AWS CLI to list incomplete parts to address the failed S3 uploads. Enable the lifecycle policy for the incomplete multipart uploads on the S3 bucket to delete the old uploads and prevent new failed uploads from accumulating.
Upload device data using S3 Transfer Acceleration. Use the AWS Management Console to address the failed S3 uploads. Use the Multi-Object Delete operation nightly to delete the old uploads.
Upload device data using S3 Transfer Acceleration. Use the AWS Management Console to address the failed S3 uploads. Use the Multi-Object Delete operation nightly to delete the old uploads.
Upload device data using a multipart upload. Use the AWS Management Console to list incomplete parts to address the failed S3 uploads. Configure a lifecycle policy to archive continuously to Amazon S3 Glacier.
Upload device data using a multipart upload. Use the AWS Management Console to list incomplete parts to address the failed S3 uploads. Configure a lifecycle policy to archive continuously to Amazon S3 Glacier.
Upload device data using S3 Transfer Acceleration. Use the AWS Management Console to list incomplete parts to address the failed S3 uploads. Enable the lifecycle policy for the incomplete multipart uploads on the S3 bucket to delete the old uploads and prevent new failed uploads from accumulating.
Upload device data using S3 Transfer Acceleration. Use the AWS Management Console to list incomplete parts to address the failed S3 uploads. Enable the lifecycle policy for the incomplete multipart uploads on the S3 bucket to delete the old uploads and prevent new failed uploads from accumulating.
Suggested answer: C

Explanation:

Reference: https://docs.aws.amazon.com/amazonglacier/latest/dev/uploading-an-archive.html

asked 16/09/2024
Sebrena Adkins
42 questions

Question 674

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The ________ service is targeted at organizations with multiple users or systems that use AWS products such as Amazon EC2, Amazon SimpleDB, and the AWS Management Console.

Amazon RDS
Amazon RDS
AWS Integrity Management
AWS Integrity Management
AWS Identity and Access Management
AWS Identity and Access Management
Amazon EMR
Amazon EMR
Suggested answer: C

Explanation:

Reference: https://aws.amazon.com/documentation/iam/?nc1=h_ls

asked 16/09/2024
Marco Santoro
31 questions

Question 675

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An Auto Scaling group is running at the desired capacity of 5 instances and receives a trigger from the Cloudwatch Alarm to increase the capacity by 1. The cool down period is 5 minutes. Cloudwatch sends another trigger after 2 minutes to decrease the desired capacity by 1.

What will be the count of instances at the end of 4 minutes?

4
4
5
5
6
6
7
7
Suggested answer: C

Explanation:

The cool down period is the time difference between the end of one scaling activity (can be start or terminate) and the start of another one (can be start or terminate). During the cool down period, Auto Scaling does not allow the desired capacity of the Auto Scaling group to be changed by any other CloudWatch alarm. Thus, in this case the trigger from the second alarm will have no effect.

Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/AS_Concepts.html#healthcheck

asked 16/09/2024
Koh Renbin
35 questions

Question 676

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A company runs a three-tier application in AWS. Users report that the application performance can vary greatly depending on the time of day and functionality being accessed. The application includes the following components:

Eight t2.large front-end web servers that serve static content and proxy dynamic content from the application tier. Four t2.large application servers. One db.m4.large Amazon RDS MySQL Multi-AZ DB instance.

Operations has determined that the web and application tiers are network constrained.

Which of the following is a cost effective way to improve application performance? (Choose two.)

Replace web and app tiers with t2.xlarge instances
Replace web and app tiers with t2.xlarge instances
Use AWS Auto Scaling and m4.large instances for the web and application tiers
Use AWS Auto Scaling and m4.large instances for the web and application tiers
Convert the MySQL RDS instance to a self-managed MySQL cluster on Amazon EC2
Convert the MySQL RDS instance to a self-managed MySQL cluster on Amazon EC2
Create an Amazon CloudFront distribution to cache content
Create an Amazon CloudFront distribution to cache content
Increase the size of the Amazon RDS instance to db.m4.xlarge
Increase the size of the Amazon RDS instance to db.m4.xlarge
Suggested answer: B, D

Explanation:

Reference: https://aws.amazon.com/ec2/instance-types/

asked 16/09/2024
Nikolaos Alexiou
32 questions

Question 677

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A solutions architect is importing a VM from an on-premises environment by using the Amazon EC2 VM Import feature of AWS Import/Export. The solutions architect has created an AMI and has provisioned an Amazon EC2 instance that is based on that AMI. The EC2 instance runs inside a public subnet in a VPC and has a public IP address assigned. The EC2 instance does not appear as a managed instance in the AWS Systems Manager console.

Which combination of steps should the solutions architect take to troubleshoot this issue? (Choose two.)

Verify that Systems Manager Agent is installed on the instance and is running
Verify that Systems Manager Agent is installed on the instance and is running
Verify that the instance is assigned an appropriate IAM role for Systems Manager.
Verify that the instance is assigned an appropriate IAM role for Systems Manager.
Verify the existence of a VPC endpoint on the VPC.
Verify the existence of a VPC endpoint on the VPC.
Verify that the AWS Application Discovery Agent is configured.
Verify that the AWS Application Discovery Agent is configured.
Verify the correct configuration of service-linked roles for Systems Manager.
Verify the correct configuration of service-linked roles for Systems Manager.
Suggested answer: B, C
asked 16/09/2024
J. Cuylits
34 questions

Question 678

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An enterprise company's data science team wants to provide a safe, cost-effective way to provide easy access to Amazon SageMaker. The data scientists have limited AWS knowledge and need to be able to launch a Jupyter notebook instance.

The notebook instance needs to have a preconfigured AWS KMS key to encrypt data at rest on the machine learning storage volume without exposing the complex setup requirements. Which approach will allow the company to set up a self-service mechanism for the data scientists to launch Jupyter notebooks in its AWS accounts with the LEAST amount of operational overhead?

Create a serverless front end using a static Amazon S3 website to allow the data scientists to request a Jupyter notebook instance by filling out a form. Use Amazon API Gateway to receive requests from the S3 website and trigger a central AWS Lambda function to make an API call to Amazon SageMaker that will launch a notebook instance with a preconfigured KMS key for the data scientists. Then call back to the front-end website to display the URL to the notebook instance.
Create a serverless front end using a static Amazon S3 website to allow the data scientists to request a Jupyter notebook instance by filling out a form. Use Amazon API Gateway to receive requests from the S3 website and trigger a central AWS Lambda function to make an API call to Amazon SageMaker that will launch a notebook instance with a preconfigured KMS key for the data scientists. Then call back to the front-end website to display the URL to the notebook instance.
Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SageMaker::NotebookInstance resource type with a preconfigured KMS key. Add a user-friendly name to the CloudFormation template. Display the URL to the notebook using the Outputs section. Distribute the CloudFormation template to the data scientists using a shared Amazon S3 bucket.
Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SageMaker::NotebookInstance resource type with a preconfigured KMS key. Add a user-friendly name to the CloudFormation template. Display the URL to the notebook using the Outputs section. Distribute the CloudFormation template to the data scientists using a shared Amazon S3 bucket.
Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SageMaker::NotebookInstance resource type with a preconfigured KMS key. Simplify the parameter names, such as the instance size, by mapping them to Small, Large, and X-Large using the Mappings section in CloudFormation. Display the URL to the notebook using the Outputs section, then upload the template into an AWS Service Catalog product in the data scientist's portfolio, and share it with the data scientist's IAM role.
Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SageMaker::NotebookInstance resource type with a preconfigured KMS key. Simplify the parameter names, such as the instance size, by mapping them to Small, Large, and X-Large using the Mappings section in CloudFormation. Display the URL to the notebook using the Outputs section, then upload the template into an AWS Service Catalog product in the data scientist's portfolio, and share it with the data scientist's IAM role.
Create an AWS CLI script that the data scientists can run locally. Provide step-by-step instructions about the parameters to be provided while executing the AWS CLI script to launch a Jupyter notebook with a preconfigured KMS key. Distribute the CLI script to the data scientists using a shared Amazon S3 bucket.
Create an AWS CLI script that the data scientists can run locally. Provide step-by-step instructions about the parameters to be provided while executing the AWS CLI script to launch a Jupyter notebook with a preconfigured KMS key. Distribute the CLI script to the data scientists using a shared Amazon S3 bucket.
Suggested answer: B
asked 16/09/2024
STEVE MESSANGA
28 questions

Question 679

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A multimedia company needs to deliver its video-on-demand (VOD) content to its subscribers in a cost-effective way. The video files range in size from 1-15 GB and are typically viewed frequently for the first 6 months after creation, and then access decreases considerably. The company requires all video files to remain immediately available for subscribers. There are now roughly 30,000 files, and the company anticipates doubling that number over time. What is the MOST cost-effective solution for delivering the company’s VOD content?

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Question 680

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A Development team has created a series of AWS CloudFormation templates to help deploy services. They created a template for a network/virtual private cloud (VPC) stack, a database stack, a bastion host stack, and a web applicationspecific stack. Each service requires the deployment of at least:

A network/VPC stack

A bastion host stack

A web application stack

Each template has multiple input parameters that make it difficult to deploy the services individually from the AWS CloudFormation console. The input parameters from one stack are typically outputs from other stacks. For example, the VPC ID, subnet IDs, and security groups from the network stack may need to be used in the application stack or database stack. Which actions will help reduce both the operational burden and the number of parameters passed into a service deployment? (Choose two.)

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