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Amazon AWS Certified Developer - Associate Sample Questions (Q120-Q125):

NEW QUESTION # 120
A developer is troubleshooting an Amazon API Gateway API. Clients are receiving HTTP 400 response errors when the clients try to access an endpoint of the API.
How can the developer determine the cause of these errors?

A. Turn on AWS CloudTrail Insights and create a trail. Specify the Amazon Resource Name (ARN) of the trail for the stage of the API.
B. Create an Amazon Kinesis Data Firehose delivery stream to receive API call logs from API Gateway. Configure Amazon CloudWatch Logs as the delivery stream's destination.
C. Turn on AWS X-Ray for the API stage. Create an Amazon CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.
D. Turn on execution logging and access logging in Amazon CloudWatch Logs for the API stage.Create a CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.

Answer: D

Explanation:
Error code 400 means bad request.
https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-logging.html The logged data includes errors or execution traces (such as request or response parameter values or payloads).

NEW QUESTION # 121
A company is implementing an application on Amazon EC2 instances. The application needs to process incoming transactions. When the application detects a transaction that is not valid, the application must send a chat message to the company's support team. To send the message, the application needs to retrieve the access token to authenticate by using the chat API.
A developer needs to implement a solution to store the access token. The access token must be encrypted at rest and in transit. The access token must also be accessible from other AWS accounts.
Which solution will meet these requirements with the LEAST management overhead?

A. Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2 instances with permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDB. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.
B. Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed key. Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the massage to the chat.
C. Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed key to store the access token. Add a resource-based policy to the secret to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Secrets Manager. Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to the chat.
D. Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key Management Service (AWS KMS) AWS managed key to store the access token. Add a resource-based policy to the parameter to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with the decrypt flag enabled. Use the decrypted access token to send the message to the chat.

Answer: A

NEW QUESTION # 122
A developer is building a microservices-based application by using Python on AWS and several AWS services The developer must use AWS X-Ray The developer views the service map by using the console to view the service dependencies. During testing, the developer notices that some services are missing from the service map What can the developer do to ensure that all services appear in the X-Ray service map?

A. Modify the X-Ray Python agent configuration in each service to increase the sampling rate
B. Instrument the application by using the X-Ray SDK for Python. Install the X-Ray SDK for all the services that the application uses
C. Increase the X-Ray service map timeout value in the X-Ray console
D. Enable X-Ray data aggregation in Amazon CloudWatch Logs for all the services that the application uses

Answer: B

Explanation:
* AWS X-Ray SDK: The primary way to enable X-Ray tracing within applications. The SDK sends data about requests and subsegments to the X-Ray daemon for service map generation.
* Instrumenting All Services: To visualize a complete microservice architecture on the service map, each relevant service must include the X-Ray SDK.

NEW QUESTION # 123
A developer needs to deploy an application in three AWS Regions by using AWS CloudFormation. Each Region will use an AWS Elastic Beanstalk environment with an Application Load Balancer (ALB). The developer wants to use AWS Certificate Manager (ACM) to deploy SSL certificates to each ALB.
Which solution will meet these requirements?

A. Create a certificate in ACM in any one of the Regions. Import the certificate into the ALB that is in each Region.
B. Create a certificate in ACM in each Region. Import the certificate into the ALB for each Region.
C. Create a certificate in ACM in the us-east-1 Region. Update the CloudFormation template to deploy the certificate to each ALB.
D. Create a global certificate in ACM. Update the CloudFormation template to deploy the global certificate to each ALB.

Answer: B

Explanation:
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/create-https-listener.html

NEW QUESTION # 124
A company has installed smart motes in all Its customer locations. The smart meter's measure power usage at
1minute intervals and send the usage readings to a remote endpoint tot collection. The company needs to create an endpoint that will receive the smart meter readings and store the readings in a database. The company wants to store the location ID and timestamp information.
The company wants to give Is customers low-latency access to their current usage and historical usage on demand The company expects demand to increase significantly. The solution must not impact performance or include downtime write seeing.
When solution will meet these requirements MOST cost-effectively?

A. Store the smart meter readings in an Amazon RDS database. Create an index on the location ID and timestamp columns Use the columns to filter on the customers 'data.
B. Store the smart motor readings m an Amazon DynamoDB table Croato a composite Key oy using the location ID and timestamp columns. Use the columns to filter on the customers' data.
C. Store the smart meter readings m Amazon S3 Parton the data by using the location ID and timestamp columns. Use Amazon Athena lo tiler on me customers' data.
D. Store the smart meter readings in Amazon EastCache for Reds Create a Sorted set key y using the location ID and timestamp columns. Use the columns to filter on the customers' data.

Answer: B

Explanation:
The solution that will meet the requirements most cost-effectively is to store the smart meter readings in an Amazon DynamoDB table. Create a composite key by using the location ID and timestamp columns. Use the columns to filter on the customers' data. This way, the company can leverage the scalability, performance, and low latency of DynamoDB to store and retrieve the smart meter readings. The company can also use the composite key to query the data by location ID and timestamp efficiently. The other options either involve more expensive or less scalable services, or do not provide low-latency access to the current usage.

NEW QUESTION # 125
......

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