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2025 Professional Minimum DVA-C02 Pass Score | DVA-C02 100% Free Free Practice Exams

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Amazon DVA-C02 Exam is a challenging certification exam that requires extensive knowledge and hands-on experience in developing and maintaining applications on AWS. DVA-C02 exam consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. The passing score for the exam is 720 out of 1000 points. Upon passing the exam, candidates will receive the AWS Certified Developer - Associate certification, which demonstrates their proficiency in developing and maintaining applications on AWS and validates their skills in the rapidly growing field of cloud computing.

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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 DVA-C02 Certification is a valuable credential for developers who want to demonstrate their expertise in AWS development. AWS Certified Developer - Associate certification can help professionals advance their careers by demonstrating their skills and knowledge to potential employers. It can also help organizations identify qualified developers who can design and deploy secure and scalable AWS applications that meet their business needs.

Amazon AWS Certified Developer - Associate Sample Questions (Q163-Q168):

NEW QUESTION # 163
A developer is building a microservice that uses AWS Lambda to process messages from an Amazon Simple Queue Service (Amazon SQS) standard queue. The Lambda function calls external APIs to enrich the SOS message data before loading the data into an Amazon Redshift data warehouse. The SOS queue must handle a maximum of 1.000 messages per second.
During initial testing, the Lambda function repeatedly inserted duplicate data into the Amazon Redshift table. The duplicate data led to a problem with data analysis. All duplicate messages were submitted to the queue within 1 minute of each other.
How should the developer resolve this issue?

A. Create an SOS FIFO queue. Enable message deduplication on the SOS FIFO queue.
B. Reduce the maximum Lambda concurrency that the SOS queue can invoke.
C. Configure a message group ID for every sent message. Enable message deduplication on the SQS standard queue.
D. Use Lambda's temporary storage to keep track of processed message identifiers.

Answer: A

NEW QUESTION # 164
A developer is managing an application that uploads user files to an Amazon S3 bucket named companybucket. The company wants to maintain copies of all the files uploaded by users for compliance purposes, while ensuring users still have access to the data through the application.
Which IAM permissions should be applied to users to ensure they can create but not remove files from the bucket?

A. json
Copy code
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "statement1",
"Effect": "Allow",
"Action": ["s3:GetObject", "s3:PutObject", "s3:DeleteObject"],
"Resource": ["arn:aws:s3:::companybucket"]
}
]
}
B. json
Copy code
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "statement1",
"Effect": "Allow",
"Action": ["s3:GetObject", "s3:PutObject"],
"Resource": ["arn:aws:s3:::companybucket"]
}
]
}
C. json
Copy code
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "statement1",
"Effect": "Allow",
"Action": ["s3:CreateBucket", "s3:GetBucketLocation"],
"Resource": "arn:aws:s3:::companybucket"
}
]
}
D. json
Copy code
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "statement1",
"Effect": "Allow",
"Action": ["s3:GetObject", "s3:PutObject", "s3:DeleteObject", "s3:PutObjectRetention"],
"Resource": "arn:aws:s3:::companybucket"
}
]
}

Answer: B

Explanation:
To meet the requirement:
Users must be able to upload (PutObject) and read (GetObject) files but not delete them.
Option D ensures users cannot delete files by omitting the s3:DeleteObject action while allowing s3:GetObject and s3:PutObject.
Option A: Includes s3:DeleteObject, which allows users to delete files and does not meet the requirement.
Option B: Contains unrelated actions like CreateBucket, which is not relevant here.
Option C: Adds s3:PutObjectRetention, which is unnecessary and does not restrict DeleteObject.
Reference:
AWS S3 Permissions Documentation
Reference:
AWS S3 Permissions Documentation

NEW QUESTION # 165
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 buckets that start with "DOC-EXAMPLE-BUCKET" except the "DOC-EXAMPLE- BUCKET/secrets" bucket
B. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket except on objects that start with
"secrets"
C. 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"
D. Access on all buckets except the "DOC-EXAMPLE-BUCKET" bucket

Answer: B

Explanation:
The IAM policy shown in the image is a resource-based policy that grants or denies access to an S3 bucket based on certain conditions. The first statement allows access to any S3 action on any object in the "DOC- EXAMPLE-BUCKET" bucket when the request is made over HTTPS (the value of aws:SecureTransport is true). The second statement denies access to the s3:GetObject and s3:PutObject actions on any object in the
"DOC-EXAMPLE-BUCKET/secrets" prefix when the request is made over HTTP (the value of aws:
SecureTransport is false). Therefore, the policy allows access on all objects in the "DOC-EXAMPLE- BUCKET" bucket except on objects that start with "secrets". Reference: Using IAM policies for Amazon S3

NEW QUESTION # 166
A company is offering APIs as a service over the internet to provide unauthenticated read access to statistical information that is updated daily. The company uses Amazon API Gateway and AWS Lambda to develop the APIs. The service has become popular, and the company wants to enhance the responsiveness of the APIs.
Which action can help the company achieve this goal?

A. Configure usage plans and API keys in API Gateway.
B. Enable cross-origin resource sharing (CORS) for the APIs.
C. Configure API Gateway to use an interface VPC endpoint.
D. Enable API caching in API Gateway.

Answer: D

Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-caching.html

NEW QUESTION # 167
A developer is working on an app for a company that uses an Amazon DynamoDB table named Orders to store customer orders. The table uses OrderlD as the partition key and there is no sort key. The table contains more than 100,000 records. The developer needs to add a functionality that will retrieve all Orders records that contain an OrderSource attribute with the MobileApp value.
Which solution will improve the user experience in the MOST efficient way?

A. Create a global secondary index (GSI) with OrderSource as the sort key. Perform a Query operation by using MobileApp as the key.
B. Perform a Scan operation on the Orders table. Provide a QueryFilter condition to filter to only the items where the OrderSource attribute is equal to the MobileApp value.
C. Create a local secondary index (LSI) with OrderSource as the partition key. Perform a Query operation by using MobileApp as the key.
D. Create a global secondary index (GSI) with OrderSource as the partition key. Perform a Query operation by using MobileApp as the key.

Answer: D

Explanation:
Requirement Summary:
* DynamoDB table Orders
* Partition key: OrderID
* No sort key
* 100,000+ records
* Need toefficiently retrieveall records where:
* OrderSource = "MobileApp"
* Mustoptimize for user experience(i.e., performance)
Evaluate Options:
Option A: Scan with FilterExpression
* #Inefficientfor large tables
* AScanreadsevery itemin the table and then applies a filter condition.
* This isslow, expensive, andnot scalableas the dataset grows.
Option B: Create a Local Secondary Index (LSI) with OrderSource
* #Invalid: LSIs require thesame partition key(OrderID) as the base table.
* Since OrderSource is not part of the primary key, and we want to querybased on it, LSI won't help.
Option C: Create a GSI with OrderSource as the sort key
* #Misuse of sort key: Querying bysort key alone is not allowedin DynamoDB.
* Youmust specify a partition keyin a Query.
* This design is not valid for the use case.
Option D: Create a GSI with OrderSource as the partition key
* ##BEST CHOICE: With a GSI on OrderSource, you canquery efficientlyfor all items where OrderSource = "MobileApp".
* DynamoDB GSIs allow analternative access patternfor queries not supported by the base table schema.
* GSI Design:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI.html
* Querying a GSI:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Query.html
* Scan vs Query:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-query-scan.
html

NEW QUESTION # 168
......

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