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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Security	26%	- Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication - Data security 1. Secure API access patterns 2. Encryption using AWS KMS
Topic 2: Troubleshooting and Optimization	18%	- Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns - Monitoring and logging 1. Amazon CloudWatch metrics and logs
Topic 3: Deployment	24%	- CI/CD and deployment strategies 1. AWS CodeBuild and CodeDeploy usage 2. AWS CodePipeline workflows - Infrastructure as code 1. AWS CloudFormation templates
Topic 4: Development with AWS Services	32%	- AWS core services development 1. Amazon S3 usage in applications 2. AWS Lambda functions development 3. Amazon DynamoDB integration patterns - Application development and integration 1. API Gateway and REST APIs 2. Event-driven architectures with SNS/SQS

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Amazon AWS Certified Developer - Associate Sample Questions (Q810-Q815):

NEW QUESTION # 810
An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:

Which techniques will help mitigate this exception? (Choose two.)

A. Implement retries with exponential backoff.
B. Use Amazon SNS instead of Kinesis.
C. Reduce the number of KCL consumers.
D. Reduce the frequency and/or size of the requests.
E. Use a PutRecord API instead of PutRecords.

Answer: A,D

Explanation:
The response from the API call indicates that the ProvisionedThroughputExceededException exception has occurred. This exception means that the rate of incoming requests exceeds the throughput limit for one or more shards in a stream. To mitigate this exception, the developer can use one or more of the following techniques:
* Implement retries with exponential backoff. This will introduce randomness in the retry intervals and avoid overwhelming the shards with retries.
* Reduce the frequency and/or size of the requests. This will reduce the load on the shards and avoid throttling errors.
* Increase the number of shards in the stream. This will increase the throughput capacity of the stream and accommodate higher request rates.
* Use a PutRecord API instead of PutRecords. This will reduce the number of records per request and avoid exceeding the payload limit.
References:
* [ProvisionedThroughputExceededException - Amazon Kinesis Data Streams Service API Reference]
* [Best Practices for Handling Kinesis Data Streams Errors]

NEW QUESTION # 811
A developer needs to store configuration variables for an application. The developer needs to set an expiration date and time for me configuration. The developer wants to receive notifications. Before the configuration expires. Which solution will meet these requirements with the LEAST operational overhead?

A. Create a standard parameter in AWS Systems Manager Parameter Store Create an AWS Lambda function to expire the configuration and to send Amazon Simple Notification Service (Amazon SNS) notifications.
B. Create a standard parameter in AWS Systems Manager Parameter Store Set Expiation and Expiration Notification policy types.
C. Create an advanced parameter in AWS Systems Manager Parameter Store Set Expiration and Expiration Notification policy types.
D. Create an advanced parameter in AWS Systems Manager Parameter Store Create an Amazon EC2 instance with a corn job to expire the configuration and to send notifications.

Answer: C

Explanation:
Explanation
This solution will meet the requirements by creating an advanced parameter in AWS Systems Manager Parameter Store, which is a secure and scalable service for storing and managing configuration data and secrets. The advanced parameter allows setting expiration and expiration notification policy types, which enable specifying an expiration date and time for the configuration and receiving notifications before the configuration expires. The Lambda code will be refactored to load the Root CA Cert from the parameter store and modify the runtime trust store outside the Lambda function handler, which will improve performance and reduce latency by avoiding repeated calls to Parameter Store and trust store modifications for each invocation of the Lambda function. Option A is not optimal because it will create a standard parameter in AWS Systems Manager Parameter Store, which does not support expiration and expiration notification policy types. Option B is not optimal because it will create a secret access key and access key ID with permission to access the S3 bucket, which will introduce additional security risks and complexity for storing and managing credentials.
Option D is not optimal because it will create a Docker container from Node.js base image to invoke Lambda functions, which will incur additional costs and overhead for creating and running Docker containers.
References: AWS Systems Manager Parameter Store, [Using SSL/TLS to Encrypt a Connection to a DB Instance]

NEW QUESTION # 812
An Amazon Kinesis Data Firehose delivery stream is receiving customer data that contains personally identifiable information. A developer needs to remove pattern-based customer identifiers from the data and store the modified data in an Amazon S3 bucket.
What should the developer do to meet these requirements?

A. Create an Amazon OpenSearch Service instance. Set the OpenSearch Service instance as the destination of the delivery stream. Use search and replace to remove the customer identifiers. Export the data to an Amazon S3 bucket.
B. Create an AWS Step Functions workflow to remove the customer identifiers. As the last step in the workflow, store the transformed data in an Amazon S3 bucket. Set the workflow as the destination of the delivery stream.
C. Launch an Amazon EC2 instance. Set the EC2 instance as the destination of the delivery stream. Run an application on the EC2 instance to remove the customer identifiers. Store the transformed data in an Amazon S3 bucket.
D. Implement Kinesis Data Firehose data transformation as an AWS Lambda function. Configure the function to remove the customer identifiers. Set an Amazon S3 bucket as the destination of the delivery stream.

Answer: D

Explanation:
Amazon Kinesis Data Firehose is a service that delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Amazon Kinesis Data Analytics. The developer can implement Kinesis Data Firehose data transformation as an AWS Lambda function. The function can remove pattern-based customer identifiers from the data and return the modified data to Kinesis Data Firehose. The developer can set an Amazon S3 bucket as the destination of the delivery stream.
Reference:
[What Is Amazon Kinesis Data Firehose? - Amazon Kinesis Data Firehose]
[Data Transformation - Amazon Kinesis Data Firehose]

NEW QUESTION # 813
A developer is setting up AWS CodePipeline for a new application. During each build, the developer must generate a test report.
Which solution will meet this requirement?

A. Create an AWS CodeDeploy deployment that runs tests. Configure the AppSpec file with the test report information.
B. Run the builds on an Amazon EC2 instance that has AWS Systems Manager Agent (SSM Agent) installed and activated.
C. Create an AWS CodeBuild build project that runs tests. Configure the buildspec file with the test report information.
D. Create a repository in AWS CodeArtifact. Select the test report template.

Answer: C

NEW QUESTION # 814
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege, a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to the S3 bucket in the MOST secure way?

A. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID in AWS Secrets Manager. Configure the application to retrieve the Secrets Manager secret and use the credentials to access the S3 objects.
B. Hardcode the credentials that are required to access the S3 objects in the application code. Use the credentials to access the required S3 objects.
C. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID as environment variables in Lambda. Use the environment variables to access the required S3 objects.
D. Create a Lambda function execution role. Attach a policy to the role that grants access to specific objects in the S3 bucket.

Answer: D

Explanation:
https://docs.aws.amazon.com/lambda/latest/operatorguide/least-privilege.html

NEW QUESTION # 815
......

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