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Amazon AWS Certified Developer - Associate Sample Questions (Q446-Q451):

NEW QUESTION # 446
A developer needs to freeze changes to an AWS CodeCommit repository before a production release. The developer will work on new features while a quality assurance (QA) team tests the release.
The QA testing and all bug fixes must take place in isolation from the main branch. After the release, the developer must integrate all bug fixes into the main branch.
Which solution will meet these requirements?

A. Create a release branch from the latest Git commit that will be in the release. Apply fixes to the release branch. Continue developing new features, and merge the features into the main branch.
Rebase the main branch onto the release branch after the release.
B. Create a Git tag on the latest Git commit that will be in the release. Continue developing new features, and merge the features into the main branch. Apply fixes to the main branch. Update the Git tag for the release to be on the latest commit on the main branch.
C. Create a Git tag on the latest Git commit that will be in the release. Continue developing new features, and merge the features into the main branch. Apply the Git commits for fixes to the Git tag for the release.
D. Create a release branch from the latest Git commit that will be in the release. Apply fixes to the release branch. Continue developing new features, and merge the features into the main branch.
Merge the release branch into the main branch after the release.

Answer: D

Explanation:
Create a release branch from the latest Git commit that will be in the release. Apply fixes to the release branch. Continue developing new features, and merge the features into the main branch.
Merge the release branch into the main branch after the release.

NEW QUESTION # 447
A developer is creating an application that uses an Amazon DynamoDB table. The developer needs to develop code that reads all records that were added to the table during the previous day. creates HTML reports, and pushes the reports into third-party storage. The item size varies from 1 KB to 4 KB, and the index structure is defined with the date. The developer needs to minimize the read capacity that the application requires from the DynamoDB table.
Which DynamoDB API operation should the developer use in the code to meet these requirements?

A. Query
B. BatchGetltem
C. Getltem
D. Scan

Answer: A

NEW QUESTION # 448
A company is using the AWS Serverless Application Model (AWS SAM) to develop a social media application. A developer needs a quick way to test AWS Lambda functions locally by using test event payloads. The developer needs the structure of these test event payloads to match the actual events that AWS services create.
Which solution will meet these requirements with the LEAST development effort?

A. Store manually created test event payloads in an Amazon S3 bucket. Use the sam local invoke command with the S3 path to the payloads.
B. Store manually created test event payloads locally. Use the sam local invoke command with the file path to the payloads.
C. Use the sam local generate-event command to create test payloads for local testing.
D. Create shareable test Lambda events. Use these test Lambda events for local testing.

Answer: C

Explanation:
Using the sam local generate-event command is the best solution because the sam local generate-event command automatically generates event payloads that match the structure of real AWS service events. It simplifies testing by providing predefined events for a variety of AWS services and does not require the developer to manually create or store test payloads. This solution requires the least development effort and matches the requirement to test Lambda functions locally with accurate event payloads.

NEW QUESTION # 449
A developer runs an application that displays scores for sports games on Amazon EC2 instances. The application uses a Redis client to retrieve the scores from an Amazon ElastiCache (Redis OSS) cluster.
The developer observes increased latency during operations on the cache because of connection failures to the cluster. The developer needs to resolve the latency issues.

A. Configure the Redis client to use an exponential backoff retry strategy to establish cache connections.
B. Store the scores in the application's memory. Perform bulk set operations on the scores that are stored in memory.
C. Configure the Redis client in the application to persist connections to the cluster by implementing a connection pool.
D. Deploy more nodes in the ElastiCache cluster. Update the Redis client to discover the new nodes.

Answer: C

Explanation:
* Why Option C is Correct:Implementing a connection pool in the Redis client reduces connection overhead and avoids frequent connection establishment, which helps to reduce latency and connection failures.
* Why Other Options are Incorrect:
* Option A: Exponential backoff retry strategies help with transient failures but do not resolve latency caused by frequent connection establishment.
* Option B: Storing scores in application memory adds complexity and risks inconsistency.
* Option D: Adding more nodes is unnecessary unless the cluster is under heavy load. Latency due to connection failures is better addressed at the application level.
* AWS Documentation References:
* Amazon ElastiCache Best Practices

NEW QUESTION # 450
A company has an application that runs as a series of AWS Lambda functions. Each Lambda function receives data from an Amazon Simple Notification Service (Amazon SNS) topic and writes the data to an Amazon Aurora DB instance.
To comply with an information security policy, the company must ensure that the Lambda functions all use a single securely encrypted database connection string to access Aurora.
Which solution will meet these requirements'?

A. Store the credentials in AWS Systems Manager Parameter Store as a secure string parameter.
B. Store the credentials and read the credentials from an encrypted Amazon RDS DB instance.
C. Use Lambda environment variables with a shared AWS Key Management Service (AWS KMS) key for encryption.
D. Use IAM database authentication for Aurora to enable secure database connections for ail the Lambda functions.

Answer: D

Explanation:
This solution will meet the requirements by using IAM database authentication for Aurora, which enables using IAM roles or users to authenticate with Aurora databases instead of using passwords or other secrets.
The developer can use IAM database authentication for Aurora to enable secure database connections for all the Lambda functions that access Aurora DB instance. The developer can create an IAM role with permission to connect to Aurora DB instance and attach it to each Lambda function. The developer can also configure Aurora DB instance to use IAM database authentication and enable encryption in transit using SSL certificates. This way, the Lambda functions can use a single securely encrypted database connection string to access Aurora without needing any secrets or passwords. Option B is not optimal because it will store the credentials and read them from an encrypted Amazon RDS DB instance, which may introduce additional costs and complexity for managing and accessing another RDS DB instance. Option C is not optimal because it will store the credentials in AWS Systems Manager Parameter Store as a secure string parameter, which may require additional steps or permissions to retrieve and decrypt the credentials from Parameter Store.
Option D is not optimal because it will use Lambda environment variables with a shared AWS Key Management Service (AWS KMS) key for encryption, which may not be secure or scalable as environment variables are stored as plain text unless encrypted with AWS KMS.
References: [IAM Database Authentication for MySQL and PostgreSQL], [Using SSL/TLS to Encrypt a Connection to a DB Instance]

NEW QUESTION # 451
......

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