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Amazon DVA-C02 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Developer – Associate (DVA-C02)
Exam Number:	DVA-C02
Real Exam Qty:	65
Certificate Validity Period:	3 years
Exam Format:	Multiple choice, Multiple response
Exam Price:	USD 150
Exam Duration:	130 minutes
Passing Score:	720 (scaled score)
Related Certifications:	AWS Certified Solutions Architect – Associate AWS Certified DevOps Engineer – Professional AWS Certified Cloud Practitioner
Available Languages:	Traditional Chinese, Korean, Spanish (Latin America), French, Japanese, English, Portuguese (Brazil), German, Simplified Chinese
Recommended Training:	AWS Certified Developer – Associate Exam Guide AWS Skill Builder – Developer Learning Plan
Exam Registration:	AWS Certification Official Registration Pearson VUE AWS Exams
Sample Questions:	Amazon DVA-C02 Sample Questions
Exam Way:	Online proctored exam via Pearson VUE or in-person at authorized testing centers
Pre Condition:	No mandatory prerequisites. Recommended: 1+ year of hands-on experience developing and maintaining AWS-based applications.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-developer-associate/

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Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is a certification exam designed for developers who are interested in validating their proficiency in developing and maintaining applications on the Amazon Web Services (AWS) platform. DVA-C02 exam tests the candidate's ability to design, develop, deploy, and maintain scalable, fault-tolerant, and highly available applications on AWS using various programming languages and AWS services such as AWS Lambda, Amazon S3, Amazon EC2, and Amazon DynamoDB.

Amazon AWS Certified Developer - Associate Sample Questions (Q732-Q737):

NEW QUESTION # 732
A developer has written the following IAM policy to provide access to an Amazon S3 bucket:

Which access does the policy allow regarding the s3:GetObject and s3:PutObject actions?

A. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket along with access to all S3 actions for objects in the "DOC-EXAMPLE-BUCKET" bucket that start with "secrets"
B. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket except on objects that start with "secrets"
C. Access on all buckets except the "DOC-EXAMPLE-BUCKET" bucket
D. Access on all buckets that start with "DOC-EXAMPLE-BUCKET" except the "DOC-EXAMPLE-BUCKET/secrets" bucket

Answer: B

NEW QUESTION # 733
A developer is preparing to deploy an AWS CloudFormation stack for an application from a template that includes an IAM user.
The developer needs to configure the application's resources to retain the IAM user after successful creation. However, the developer also needs to configure the application to delete the IAM user if the stack rolls back.

A. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-05-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: Retain
B. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-09-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: RetainExceptOnCreate
C. Update the CloudFormation service role to include the following policy:
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["cloudformation:UpdateTerminationProtection"],
"Resource": "*"
}]
}
D. Update the stack policy to include the following statements:
{
"Statement": [{
"Effect": "Deny",
"Action": "Update:*",
"Principal": "*",
"Resource": "*",
"Condition": {
"StringEquals": {

Answer: B

Explanation:
"ResourceType": "AWS::IAM::User"
}
}
}]
}
Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option B is Correct:
The RetainExceptOnCreate deletion policy ensures that the IAM user is retained after successful stack creation but is deleted if the stack creation fails or rolls back. This meets both requirements.
Why Other Options are Incorrect:
Option A: The Retain policy retains the resource regardless of stack status and does not delete the IAM user upon rollback.
Option C: Updating the service role for termination protection does not address the specific deletion behavior for the IAM user.
Option D: Stack policy controls updates, not resource deletion behavior during rollbacks.
AWS Documentation Reference:
CloudFormation DeletionPolicy Attribute

NEW QUESTION # 734
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. Username
C. Submission date
D. Validation status

Answer: A

NEW QUESTION # 735
A developer is creating an AWS Lambda function that searches for items from an Amazon DynamoDB table that contains customer contact information- The DynamoDB table items have the customer's email_address as the partition key and additional properties such as customer_type, name, and job_tltle.
The Lambda function runs whenever a user types a new character into the customer_type text input The developer wants the search to return partial matches of all the 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 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 begvns_wth key condition expression With the emad_address property
B. Add a global secondary index (GSI) to the DynamoDB table With ernail_address as the partition key and customer_type as the sort key Perform a query operation on the GSI by using the begins_wtth key condition expression With the emal_address property.
C. Add a local secondary index (LSI) to the DynamoDB table With customer_type as the partition key and email_address as the sort key Perform a query operation on the LSI by using the begins_wlth key condition expression With the email_address property
D. Add a local secondary Index (LSI) to the DynamoDB table With job_tltle as the partition key and emad_address as the sort key Perform a query operation on the LSI by using the begins_wrth key condition expression With the email_address property

Answer: A

Explanation:
* Understand the Problem: The existing DynamoDB table has email_address as the partition key.
Searching by customer_type requires a different data access pattern. We need an efficient way to query for partial matches on email_address based on customer_type.
* Why Global Secondary Index (GSI):
* GSIs allow you to define a different partition key and sort key from the main table, enabling new query patterns.
* In this case, having customer_type as the GSI's partition key lets you group all emails with the same customer type together.
* Using email_address as the sort key allows ordering within each customer type, facilitating the partial matching.
* Querying the GSI:
* You'll perform a query operation on the GSI, not the original table.
* Use the begins_with key condition expression on the GSI's sort key (email_address) to find partial matches as the user types in the customer_type field.
References:
* DynamoDB Global Secondary Indexes: https://docs.aws.amazon.com/amazondynamodb/latest
/developerguide/GSI.html
* DynamoDB Query Operation: [invalid URL removed]
* Key Condition Expressions: [invalid URL removed]

NEW QUESTION # 736
An application is experiencing performance issues based on increased demand. This increased demand is on read-only historical records pulled from an Amazon RDS-hosted database with custom views and queries. A developer must improve performance without changing the database structure.
Which approach will improve performance and MINIMIZE management overhead?

A. Deploy Amazon DynamoDB, move all the data, and point to DynamoDB.
B. Deploy Amazon DynamoDB Accelerator (DAX) on Amazon RDS to improve cache performance.
C. Deploy Memcached on Amazon EC2 and cache the data for the application.
D. Deploy Amazon ElastiCache (Redis OSS) and cache the data for the application.

Answer: D

NEW QUESTION # 737
......

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