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| Section | Weight | Objectives |
|---|
| Troubleshooting and Optimization | 18% | - Debug and resolve errors
- 1. Resolve integration and configuration problems
- 2. Identify and fix code defects
- Optimize application performance
- 1. Improve latency and throughput
- 2. Optimize resource usage and costs
- Troubleshoot application issues
- 1. Analyze logs, metrics, and traces
- 2. Use Amazon CloudWatch, AWS X-Ray for monitoring
|
| Development with AWS Services | 32% | - Write code for applications hosted on AWS
- 1. Use AWS SDKs and APIs
- 2. Implement architectural patterns
- 3. Develop serverless applications
- Interact with AWS data services
- 1. Work with Amazon DynamoDB, Amazon S3
- 2. Implement caching and data storage strategies
- Integrate AWS services into applications
- 1. Use AWS Lambda, API Gateway, Amazon EventBridge
- 2. Implement messaging and event-driven workflows
|
| Deployment | 24% | - Deploy applications on AWS
- 1. Perform safe updates and rollbacks
- 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
- Prepare application artifacts for deployment
- 1. Use infrastructure as code (AWS CloudFormation, AWS SAM)
- 2. Package code and dependencies
- Implement CI/CD pipelines
- 1. Automate deployment and testing workflows
- 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
|
| Security | 26% | - Apply security best practices
- 1. Validate application security configurations
- 2. Follow AWS Well-Architected Framework security principles
- Implement authentication and authorization
- 1. Manage IAM roles, policies, and permissions
- 2. Use Amazon Cognito for identity management
- Secure application data
- 1. Manage secrets and credentials securely
- 2. Implement encryption at rest and in transit
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q852-Q857):
NEW QUESTION # 852
A developer is using AWS Elastic Beanstalk to deploy an application. The application must be able to access API keys from a third-party service. Currently, the company stores the credentials to access the third-party service in the code bundle. The company must redeploy the code bundle when the credentials rotate.
The developer wants to improve security and avoid redeployments.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Store the credentials as SecureStrong parameters in AWS Systems Manager Parameter Store.
Reference the credentials in Elastic Beanstalk environment variables. - B. Use AWS KMS to encrypt the credentials locally. Configure Elastic Beanstalk to decrypt the credentials on startup.
- C. Store the credentials in an Amazon S3 bucket. Configure server-side encryption with Amazon S3 managed keys (SSE-S3). Fetch the credentials at runtime.
- D. Continue to store the credentials in an encrypted file within the application bundle.
Answer: A
Explanation:
AWS Elastic Beanstalk can reference AWS Systems Manager Parameter Store values as environment variables, including secure parameters for sensitive data such as API keys. This removes the credentials from the application bundle, improves security, and avoids code redeployments when credentials change because the values are managed externally in Parameter Store and injected into the environment by Elastic Beanstalk.
NEW QUESTION # 853
A developer used the AWS SDK to create an application that aggregates and produces log records for 10 services. The application delivers data to an Amazon Kinesis Data Streams stream. Each record contains a log message with a service name, creation timestamp, and other log information. The stream has 15 shards in provisioned capacity mode. The stream uses service name as the partition key.
The developer notices that when all the services are producing logs,
ProvisionedThroughputExceededException errors occur during PutRecord requests. The stream metrics show that the write capacity the applications use is below the provisioned capacity.
Which solution will most effectively resolve the throttling issue?
- A. Change the partition key from service name to creation timestamp.
- B. Use a separate Kinesis stream for each service to generate the logs.
- C. Change the capacity mode from provisioned to on-demand.
- D. Double the number of shards until the throttling errors stop occurring.
Answer: A
Explanation:
Issue Analysis:
The stream uses service name as the partition key. This can cause "hot partition" issues when a few service names generate significantly more logs compared to others, causing uneven distribution of data across shards.
Metrics show that the write capacity used is below provisioned capacity, which confirms that the throughput errors are due to shard-level limits and not overall capacity.
By changing the partition key to the creation timestamp (or a composite key including timestamp), the distribution of data across shards can be randomized, ensuring an even spread of records.
This resolves the shard overutilization issue and eliminates
ProvisionedThroughputExceededException.
NEW QUESTION # 854
An ecommerce startup is preparing for an annual sales event. As the traffic to the company's application increases, the development team wants to be notified when the Amazon EC2 instance's CPU utilization exceeds 80%.
Which solution will meet this requirement?
- A. Create a custom Amazon CloudWatch alarm that sends a notification to an Amazon SNS topic when the CPU utilization exceeds 80%.
- B. Create an AWS Lambda function that queries the AWS CloudTrail logs for the CPUUtilization metric every 15 minutes and sends a notification to an Amazon SNS topic when the CPU utilization exceeds 80%.
- C. Create a custom AWS CloudTrail alarm that sends a notification to an Amazon SNS topic when the CPU utilization exceeds 80%.
- D. Create a cron job on the EC2 instance that invokes the --describe-instance-information command on the host instance every 15 minutes and sends the results to an Amazon SNS topic.
Answer: A
NEW QUESTION # 855
A developer is setting up a deployment pipeline. The pipeline includes an AWS CodeBuild build stage that requires access to a database to run integration tests. The developer is using a buildspec.yml file to configure the database connection. Company policy requires automatic rotation of all database credentials.
Which solution will handle the database credentials MOST securely?
- A. Retrieve the credentials from an environment variable that is linked to a SecureString parameter in AWS Systems Manager Parameter Store. Configure Parameter Store for automatic rotation.
- B. Retrieve the credentials from an environment variable that is linked to an AWS Secrets Manager secret.
Configure Secrets Manager for automaticrotation. - C. Retrieve the credentials from variables that are hardcoded in the buildspec.yml file. Configure an AWS Lambda function to rotate the credentials.
- D. Retrieve the credentials from an environment variable that contains the connection string in plaintext.Configure an Amazon EventBridge event to rotate the credentials.
Answer: A
NEW QUESTION # 856
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. 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.
- B. 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.
- C. 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. - D. 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.
Answer: A
Explanation:
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.
References: Time To Live, Managing DynamoDB Time To Live (TTL)
NEW QUESTION # 857
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