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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows - Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks - Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)
Topic 2: Security	26%	- Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management - Apply security best practices 1. Follow AWS Well-Architected Framework security principles 2. Validate application security configurations - Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit
Topic 3: Troubleshooting and Optimization	18%	- Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput - Debug and resolve errors 1. Resolve integration and configuration problems 2. Identify and fix code defects - Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring
Topic 4: Development with AWS Services	32%	- Write code for applications hosted on AWS 1. Implement architectural patterns 2. Develop serverless applications 3. Use AWS SDKs and APIs - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies

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Amazon AWS Certified Developer - Associate Sample Questions (Q758-Q763):

NEW QUESTION # 758
A company uses imported certificates in AWS Certificate Manager (ACM) to access the company's public websites. The company needs a solution to ensure that a security team receives a notification a minimum of 30 days before any certificate expires. Which solution will meet this requirement with the LEAST development effort?

A. Create a shell script that runs AWS CLI commands to check each ACM certificate's expiration date. Send an email notification to the security team when a certificate will expire within 30 days.
Use a cron job in AWS CloudShell to schedule the script to run every night.
B. Create an Amazon SNS topic, and subscribe the security team to the topic. Create an Amazon EventBridge rule with an event pattern. Set the source as aws.acm. Set a detail type of ACM Certificate Approaching Expiration. Set the SNS topic as the target for the rule.
C. Create a shell script that runs AWS CLI commands to check each ACM certificate's expiration date. Send an email notification to the security team when a certificate will expire within 30 days.
Use a cron job to schedule the script to run every night on an Amazon EC2 instance.
D. Create an Amazon SNS topic, and subscribe the security team to the topic. Create an Amazon EventBridge rule with an event pattern. Set the source as aws.securityhub. Set a detail type of Security Hub Findings - Imported and a detail of ACM Certificate Approaching Expiration. Set the SNS topic as the target for the rule.

Answer: B

Explanation:
Amazon EventBridge automatically emits events for ACM certificate expiration notifications with the source aws.acm and detail type ACM Certificate Approaching Expiration. Creating a rule with this event pattern and setting an SNS topic as the target provides an automated, serverless solution with minimal development effort.

NEW QUESTION # 759
A company is releasing a new feature. Users can request early access to the new feature by using an application form. The company expects a surge of requests when the application form becomes available. Each request will be stored as an item in an Amazon DynamoDB table.
Each item will contain the user's username, the submission date, and a validation status of UNVALIDATED. VALID, or NOT VALID. Each item also will contain the user's rating of the process on a scale of 1 to 5.
Each user can submit one request. For the DynamoDB table, the developer must choose a partition key that will give the workload well-distributed records across partitions.
Which DynamoDB attribute will meet these requirements?

A. Rating of the process on a scale of 1 to 5
B. Validation status
C. Username
D. Submission date

Answer: A

NEW QUESTION # 760
A developer is using AWS Step Functions to automate a workflow. The workflow defines each step as an AWS Lambda function task. The developer notices that runs of the Step Functions state machine fail in the GetResource task with either an IllegalArgumentException error or a TooManyRequestsException error.
The developer wants the state machine to stop running when the state machine encounters an IllegalArgumentException error. The state machine needs to retry the GetResource task one additional time after 10 seconds if the state machine encounters a TooManyRequestsException error. If the second attempt fails, the developer wants the state machine to stop running.
How can the developer implement the Lambda retry functionality without adding unnecessary complexity to the state machine?

A. Add a Delay task after the GetResource task. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be the Delay task. Configure the Delay task to wait for an interval of 10 seconds. Configure the next step to be the GetResource task.
B. Add a retrier to the GetResource task. Configure the retrier with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.
C. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.
Configure the next step to be the GetResource task.
D. Duplicate the GetResource task. Rename the new GetResource task to TryAgain. Add a catcher to the original GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be TryAgain.

Answer: A

NEW QUESTION # 761
A mobile app stores blog posts in an Amazon DynacnoDB table Millions of posts are added every day and each post represents a single item in the table. The mobile app requires only recent posts. Any post that is older than 48 hours can be removed.
What is the MOST cost-effective way to delete posts that are older man 48 hours?

A. For each item add a new attribute of type String that has a timestamp that is set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are order than 48 hours by using the Balch Write ltem API operation. Schedule a cron job on an Amazon EC2 instance once an hour to start the script.
B. For each item add a new attribute of type. Number that has timestamp that is set to 48 hours after the blog post. creation time Configure the DynamoDB table with a TTL that references the new attribute.
C. For each item add a new attribute of type. String that has a timestamp that its set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are Oder than 48 hours by using the Batch Write item API operating. Place the script in a container image. Schedule an Amazon Elastic Container Service (Amazon ECS) task on AWS Far gate that invokes the container every 5 minutes.
D. For each item, add a new attribute of type Date that has a timestamp that is set to 48 hours after the blog post creation time. Create a global secondary index (GSI) that uses the new attribute as a sort key. Create an AWS Lambda function that references the GSI and removes expired items by using the Batch Write item API operation Schedule me function with an Amazon CloudWatch event every minute.

Answer: B

Explanation:
This solution will meet the requirements by using the Time to Live (TTL) feature of DynamoDB, which enables automatically deleting items from a table after a certain time period. The developer can add a new attribute of type Number that has a timestamp that is set to 48 hours after the blog post creation time, which represents the expiration time of the item. The developer can configure the DynamoDB table with a TTL that references the new attribute, which instructs DynamoDB to delete the item when the current time is greater than or equal to the expiration time. This solution is also cost-effective as it does not incur any additional charges for deleting expired items. Option A is not optimal because it will create a script to find and remove old posts with a table scan and a batch write item API operation, which may consume more read and write capacity units and incur more costs. Option B is not optimal because it will use Amazon Elastic Container Service (Amazon ECS) and AWS Fargate to run the script, which may introduce additional costs and complexity for managing and scaling containers. Option C is not optimal because it will create a global secondary index (GSI) that uses the expiration time as a sort key, which may consume more storage space and incur more costs.

NEW QUESTION # 762
A developer created an AWS Lambda function to process data in an application. The function pulls large objects from an Amazon S3 bucket, processes the data, and loads the processed data into a second S3 bucket. Application users have reported slow response times. The developer checks the logs and finds that Lambda function invocations run much slower than expected. The function itself is simple and has a small deployment package. The function initializes quickly. The developer needs to improve the performance of the application. Which solution will meet this requirement with the LEAST operational overhead?

A. Configure the function to use ephemeral storage. Upload the objects and process data in the /tmp directory.
B. Create a Lambda layer to package the function dependencies. Add the layer to the function.
C. Create an Amazon EventBridge rule to schedule invocations of the function every minute.
D. Store the data in an Amazon EFS file system. Mount the file system to a local directory in the function.

Answer: A

Explanation:
Configuring the Lambda function to use ephemeral storage and processing data in the /tmp directory improves performance by leveraging local storage during execution.
Ephemeral Storage: Lambda provides temporary storage (up to 10 GB) in the /tmp directory for each invocation, which is faster than pulling data directly from S3 multiple times.
Performance Boost: Data can be downloaded to /tmp, processed locally, and uploaded to the destination S3 bucket, minimizing S3 network calls.
Low Overhead: This approach requires only minimal changes to the function's configuration.

NEW QUESTION # 763
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