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| Section | Weight | Objectives |
|---|
| Topic 1: Security | 26% | - Implement encryption by using AWS services
- 1. AWS KMS
- 2. AWS Secrets Manager
- 3. AWS CloudHSM
- 4. AWS Certificate Manager
- 5. Amazon S3 encryption
- Implement authentication and/or authorization for applications and AWS services
- 1. Identity federation (SAML, OpenID Connect, Amazon Cognito)
- 2. Role-based access control (RBAC)
- 3. User pools and identity pools in Amazon Cognito
- 4. Bearer tokens (JWT, OAuth, AWS STS)
- 5. Resource-based policies, service policies, and principal policies
- Manage sensitive data in application code
- 1. AWS Secrets Manager
- 2. Environment variables
- 3. AWS Systems Manager Parameter Store
- 4. Encryption of data at rest and in transit
|
| Topic 2: Troubleshooting and Optimization | 18% | - Assist in a root cause analysis
- 1. AWS X-Ray
- 2. Amazon CloudWatch Logs
- 3. AWS CloudTrail
- 4. Error handling and retries
- 5. Application logging
- Optimize applications by using AWS services and features
- 1. Cost optimization
- 2. Data storage optimization
- 3. Memory and compute optimization
- 4. Concurrency and throttling
- 5. Caching strategies (ElastiCache, CloudFront)
- Instrument code for observability
- 1. AWS X-Ray
- 2. Amazon CloudWatch alarms
- 3. Structured logging
- 4. Custom metrics
- 5. Amazon CloudWatch metrics
|
| Topic 3: Development with AWS Services | 32% | - Develop code for applications hosted on AWS
- 1. Amazon API Gateway
- 2. Amazon SQS
- 3. Amazon DynamoDB
- 4. AWS SDKs
- 5. Amazon SNS
- 6. AWS CloudFormation
- 7. Amazon S3
- 8. Amazon Cognito
- 9. AWS Lambda
- 10. AWS CLI
- Use data stores in application development
- 1. Amazon DynamoDB
- 2. Amazon ElastiCache
- 3. Amazon EFS
- 4. Amazon S3
- 5. Amazon RDS
- Develop code for AWS serverless applications
- 1. Amazon EventBridge
- 2. Amazon API Gateway
- 3. AWS AppSync
- 4. AWS Step Functions
|
| Topic 4: Deployment | 24% | - Test applications in development environments
- 1. AWS SAM local
- 2. Mocking AWS services
- 3. Local testing of Lambda functions
- Deploy code by using AWS CI/CD services
- 1. Rolling deployments
- 2. Canary deployments
- 3. AWS CodeBuild
- 4. Blue/green deployments
- 5. AWS CodePipeline
- 6. AWS CodeDeploy
- 7. GitHub integration
- 8. AWS CodeCommit
- Automate deployment testing
- 1. AWS CodeBuild
- 2. AWS CodePipeline
- 3. AWS CodeDeploy
- 4. AWS CodeCommit
- Prepare application artifacts to be deployed to AWS
- 1. AWS CloudFormation
- 2. Docker containers
- 3. Lambda deployment packages
- 4. AWS SAM
- 5. AWS CDK
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q117-Q122):
NEW QUESTION # 117
A company wants to make sure that only one user from its Admin group has the permanent right to delete an Amazon EC2 resource. There should be no changes in the existing policy under the Admin group. What should a developer use to meet these requirements?
- A. AWS managed policy
- B. AWS STS
- C. IAM trust relationship
- D. Inline policy
Answer: D
Explanation:
An Inline Policy is a policy that is embedded directly into an IAM user, group, or role. When you use an inline policy, you maintain a strict one-to-one relationship between the policy and the identity. Since the requirement is to grant a specific " permanent " right to only one specific user within a group without changing the shared group policy, an inline policy attached directly to that individual user is the correct approach.
NEW QUESTION # 118
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 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.
- B. 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.
- C. 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.
- 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: A
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 # 119
A developer is using an AWS account to build an application that stores files in an Amazon S3 bucket. Files must be encrypted at rest by AWS KMS keys. A second AWS account must have access to read files from the bucket. The developer wants to minimize operational overhead for the application. Which combination of solutions will meet these requirements? (Choose two.)
- A. Create a gateway endpoint for the S3 bucket. Modify the endpoint policy to grant s3:GetObject permissions to the second AWS account.
- B. Use a customer managed key to encrypt the files. Create a key policy that grants kms: Decrypt permissions to the second AWS account.
- C. Use an AWS managed key to encrypt the files. Create a key policy that grants kms:Decrypt permissions to the second AWS account.
- D. Create a bucket policy for the S3 bucket that grants s3:GetObject permissions to the second AWS account.
- E. Create a service control policy (SCP) that grants s3:GetObject permissions to the second AWS account.
Answer: B,D
Explanation:
Using a customer managed KMS key with a key policy granting decrypt permissions to the second AWS account ensures the second account can decrypt the encrypted files.
Creating an S3 bucket policy granting the second AWS account permission to get objects allows secure cross-account access to the bucket contents.
NEW QUESTION # 120
A developer is creating an AWS Lambda function that searches for Items from an Amazon DynamoDQ table that contains customer contact information. The DynamoDB table items have the customers as the partition and additional properties such as customer -type, name, and job_title.
The Lambda function runs whenever a user types a new character into the customer_type text Input. The developer wants to search to return partial matches of all tne email_address property of a particular customer type. The developer does not want to recreate the DynamoDB table.
What should the developer do to meet these requirements?
- A. Add a local secondary index (LSI) to the DynemoOB table with customer_type as the partition Key and email_address as the sort Key. Perform a quick operation on the LSI by using the begine_with Key condition expression with the email-address property.
- B. Add a local secondary index (LSI) to the DynamoDB table with job-title as the partition key and email_address as the sort key. Perform a query operation on the LSI by using the begins_with key condition expression with the email_address property.
- C. Add a global secondary index (GSI) to the DynamoDB table with email_address as the partition key and customer_type as the sort key. Perform a query operation on the GSI by using the begine_with key condition expresses with the email. Address property.
- D. Add a global secondary index (GSI) to the DynamoDB table with customer-type input, as the partition key and email_address as the sort key. Perform a query operation on the GSI by using the begins with key condition expression with the email_address property.
Answer: D
Explanation:
The solution that will meet the requirements is to add a global secondary index (GSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key. Perform a query operation on the GSI by using the begins_with key condition expression with the email_address property. This way, the developer can search for partial matches of the email_address property of a particular customer type without recreating the DynamoDB table. The other options either involve using a local secondary index (LSI), which requires recreating the table, or using a different partition key, which does not allow filtering by customer_type.
Reference: Using Global Secondary Indexes in DynamoDB
NEW QUESTION # 121
A company hosts a stateless web application with low data storage in a single AWS Region. The company wants to increase the resiliency of the application to include a multi-Region presence. The company wants to set the recovery time objective (RTO) and recovery point objective (RPO) to hours. The company needs a low-cost and low-complexity disaster recovery (DR) strategy.
Which DR strategy should the company use?
- A. Multi-site active-active
- B. Warm standby
- C. Pilot light
- D. Backup and restore
Answer: C
Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option B is Correct:The pilot light strategy keeps a minimal version of the environment in another Region and scales up during a disaster. It achieves an RTO and RPO of hours at a low cost and complexity.
* Why Other Options are Incorrect:
* Option A: Warm standby is more expensive as it keeps a scaled-down, fully functioning version running in another Region.
* Option C: Backup and restore has a longer RTO and RPO than hours.
* Option D: Multi-site active-active is costly and more complex than required.
* AWS Documentation References:
* Disaster Recovery Strategies on AWS
NEW QUESTION # 122
......
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