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AWS-CDA Exam Syllabus Topics:
| Section | Objectives |
|---|---|
Deployment - 22% | |
| Deploy written code in AWS using existing CI/CD pipelines, processes, and patterns. | - Commit code to a repository and invoke build, test and/or deployment actions - Use labels and branches for version and release management - Use AWS CodePipeline to orchestrate workflows against different environments - Apply AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeStar, and AWS CodeDeploy for CI/CD purposes - Perform a roll back plan based on application deployment policy |
| Deploy applications using AWS Elastic Beanstalk. | - Utilize existing supported environments to define a new application stack - Package the application - Introduce a new application version into the Elastic Beanstalk environment - Utilize a deployment policy to deploy an application version (i.e., all at once, rolling, rolling with batch, immutable) - Validate application health using Elastic Beanstalk dashboard - Use Amazon CloudWatch Logs to instrument application logging |
| Prepare the application deployment package to be deployed to AWS. | - Manage the dependencies of the code module (like environment variables, config files and static image files) within the package - Outline the package/container directory structure and organize files appropriately - Translate application resource requirements to AWS infrastructure parameters (e.g., memory, cores) |
| Deploy serverless applications. | - Given a use case, implement and launch an AWS Serverless Application Model (AWS SAM) template - Manage environments in individual AWS services (e.g., Differentiate between Development, Test, and Production in Amazon API Gateway) |
Security - 26% | |
| Make authenticated calls to AWS services. | - Communicate required policy based on least privileges required by application. - Assume an IAM role to access a service - Use the software development kit (SDK) credential provider on-premises or in the cloud to access AWS services (local credentials vs. instance roles) |
| Implement encryption using AWS services. | - Encrypt data at rest (client side; server side; envelope encryption) using AWS services - Encrypt data in transit |
| Implement application authentication and authorization. | - Add user sign-up and sign-in functionality for applications with Amazon Cognito identity or user pools - Use Amazon Cognito-provided credentials to write code that access AWS services. - Use Amazon Cognito sync to synchronize user profiles and data- Use developer-authenticated identities to interact between end user devices, backend authentication, and Amazon Cognito |
Development with AWS Services - 30% | |
| Write code for serverless applications. | - Compare and contrast server-based vs. serverless model (e.g., micro services, stateless nature of serverless applications, scaling serverless applications, and decoupling layers of serverless applications) - Configure AWS Lambda functions by defining environment variables and parameters (e.g., memory, time out, runtime, handler) - Create an API endpoint using Amazon API Gateway - Create and test appropriate API actions like GET, POST using the API endpoint - Apply Amazon DynamoDB concepts (e.g., tables, items, and attributes) - Compute read/write capacity units for Amazon DynamoDB based on application requirements - Associate an AWS Lambda function with an AWS event source (e.g., Amazon API Gateway, Amazon CloudWatch event, Amazon S3 events, Amazon Kinesis) - Invoke an AWS Lambda function synchronously and asynchronously |
| Translate functional requirements into application design. | - Determine real-time vs. batch processing for a given use case - Determine use of synchronous vs. asynchronous for a given use case - Determine use of event vs. schedule/poll for a given use case - Account for tradeoffs for consistency models in an application design |
| Implement application design into application code. | - Write code to utilize messaging services (e.g., SQS, SNS) - Use Amazon ElastiCache to create a database cache - Use Amazon DynamoDB to index objects in Amazon S3 - Write a stateless AWS Lambda function - Write a web application with stateless web servers (Externalize state) |
| Write code that interacts with AWS services by using APIs, SDKs, and AWS CLI. | - Choose the appropriate APIs, software development kits (SDKs), and CLI commands for the code components - Write resilient code that deals with failures or exceptions (i.e., retries with exponential back off and jitter) |
Refactoring - 10% | |
| Optimize applications to best use AWS services and features. | - Implement AWS caching services to optimize performance (e.g., Amazon ElastiCache, Amazon API Gateway cache) - Apply an Amazon S3 naming scheme for optimal read performance |
AWS DVA-C01 Exam Certification Details:
| Exam Code | DVA-C01 |
| Exam Name | AWS Developer Associate (AWS-CDA) |
| Sample Questions | AWS DVA-C01 Sample Questions |
| Duration | 130 minutes |
| Passing Score | 720 / 1000 |
| Number of Questions | 65 |
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Amazon AWS Certified Developer Associate Exam Sample Questions (Q486-Q491):
NEW QUESTION # 486
A website's page load times are gradually increasing as more users access the system at the same time.
Analysis indicates that a user profile is being loaded from a database in all the web pages being visited by each user and this is increasing the database load and the page load latency. To address this issue the Developer decides to cache the user profile data.
Which caching strategy will address this situation MOST efficiently?
- A. Use a dedicated Amazon RDS instance for caching profile data. Use a write-through caching strategy.
- B. Create an ElastiCache cluster to cache the user profile data. Use a write-through caching strategy.
- C. Create an Amazon ElastiCache cluster to cache the user profile data. Use a cache-aside caching strategy.
- D. Create a new Amazon EC2 Instance and run a NoSQL database on it. Cache the profile data within this database using the write-through caching strategy.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonElastiCache/latest/mem-ug/Strategies.html
NEW QUESTION # 487
A Developer must build an application that uses Amazon DynamoDB. The requirements state that items being stored in the DynamoDB table will be 7KB in size and that reads must be strongly consistent. The maximum read rate is 3 items per second, and the maximum write rate is 10 items per second.
How should the Developer size the DynamoDB table to meet these requirements?
- A. Read: 3 read capacity units
Write: 10 write capacity units - B. Read: 6 read capacity units
Write: 10 write capacity units - C. Read: 6 read capacity units
Write: 70 write capacity units - D. Read: 3 read capacity units
Write: 70 write capacity units
Answer: D
NEW QUESTION # 488
A gaming company is developing a mobile game application for iOS and Android platforms. This mobile game securely stores user data locally on the device. The company wants to allow users to use multiple device for the game, which requires user data synchronization across device.
Which service should be used to synchronize user data across devices without the need to create a backend application?
- A. Amazon S3
- B. AWS Lambda
- C. Amazon Cognito
- D. Amazon DynamoDB
Answer: C
NEW QUESTION # 489
A developer is building an application that processes a stream of user-supplied data The data stream must be consumed by multiple Amazon EC2 based processing applications in parallel and in real time. Each processor must be able to resume without losing data if there is a service interruption. The Application Architect plans to add other processors in the near future, and wants to minimize the amount of data duplication involved.
Which solution will satisfy these requirements?
- A. Publish the data to Amazon CloudWatch Events.
- B. Publish the data to Amazon Kinesis Data Streams.
- C. Publish the data to Amazon SQS
- D. Publish the data to Amazon Kinesis Data Firehose
Answer: C
NEW QUESTION # 490
A company is running an application built on AWS Lambda functions. One Lambda function has performance issues when it has to download a 50MB file from the Internet in every execution. This function is called multiple times a second.
What solution would give the BEST performance increase?
- A. Put an Elastic Load Balancer in front of the Lambda function
- B. Increase the Lambda maximum execution time
- C. Cache the file in the /tmp directory
- D. Cache the file in Amazon S3
Answer: C
Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/runtimes-context.html
NEW QUESTION # 491
......
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