Valid DVA-C02 Test Camp | Test DVA-C02 King

DOWNLOAD the newest CertkingdomPDF DVA-C02 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1jZtW--lFGIYXGjPGSSEFMmOqi4GqLPfC

Our research and development team not only study what questions will come up in the DVA-C02 exam, but also design powerful study tools like exam simulation software.The content of our DVA-C02 practice materials is chosen so carefully that all the questions for the exam are contained. And our DVA-C02study materials have three formats which help you to read, test and study anytime, anywhere. This means with our products you can prepare for DVA-C02 exam efficiently.

Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Development with AWS Services	32%	- Use data stores in application development 1. Amazon EFS 2. Amazon S3 3. Amazon DynamoDB 4. Amazon ElastiCache 5. Amazon RDS - Develop code for applications hosted on AWS 1. AWS Lambda 2. AWS CloudFormation 3. Amazon SNS 4. Amazon API Gateway 5. Amazon S3 6. Amazon DynamoDB 7. Amazon Cognito 8. AWS CLI 9. AWS SDKs 10. Amazon SQS - Develop code for AWS serverless applications 1. AWS Step Functions 2. Amazon API Gateway 3. Amazon EventBridge 4. AWS AppSync
Topic 2: Deployment	24%	- Deploy code by using AWS CI/CD services 1. Blue/green deployments 2. Rolling deployments 3. AWS CodeDeploy 4. Canary deployments 5. GitHub integration 6. AWS CodePipeline 7. AWS CodeBuild 8. AWS CodeCommit - Test applications in development environments 1. Mocking AWS services 2. Local testing of Lambda functions 3. AWS SAM local - Automate deployment testing 1. AWS CodeDeploy 2. AWS CodePipeline 3. AWS CodeBuild 4. AWS CodeCommit - Prepare application artifacts to be deployed to AWS 1. Lambda deployment packages 2. AWS SAM 3. AWS CloudFormation 4. AWS CDK 5. Docker containers
Topic 3: Troubleshooting and Optimization	18%	- Optimize applications by using AWS services and features 1. Data storage optimization 2. Memory and compute optimization 3. Cost optimization 4. Concurrency and throttling 5. Caching strategies (ElastiCache, CloudFront) - Assist in a root cause analysis 1. Application logging 2. AWS CloudTrail 3. Amazon CloudWatch Logs 4. AWS X-Ray 5. Error handling and retries - Instrument code for observability 1. Structured logging 2. Amazon CloudWatch alarms 3. AWS X-Ray 4. Custom metrics 5. Amazon CloudWatch metrics
Topic 4: Security	26%	- Implement encryption by using AWS services 1. Amazon S3 encryption 2. AWS Secrets Manager 3. AWS KMS 4. AWS CloudHSM 5. AWS Certificate Manager - Implement authentication and/or authorization for applications and AWS services 1. Identity federation (SAML, OpenID Connect, Amazon Cognito) 2. Resource-based policies, service policies, and principal policies 3. User pools and identity pools in Amazon Cognito 4. Role-based access control (RBAC) 5. Bearer tokens (JWT, OAuth, AWS STS) - Manage sensitive data in application code 1. AWS Systems Manager Parameter Store 2. AWS Secrets Manager 3. Environment variables 4. Encryption of data at rest and in transit

>> Valid DVA-C02 Test Camp <<

Latest Released Amazon Valid DVA-C02 Test Camp - DVA-C02 AWS Certified Developer - Associate

The CertkingdomPDF is a reliable platform that is committed to making your preparation for the Amazon DVA-C02 examination easier and more effective. To meet this objective, the CertkingdomPDF is offering updated and real AWS Certified Developer - Associate DVA-C02 exam dumps. These Amazon DVA-C02 Exam Questions are approved by experts. They work together and analyze the examination content to compile most probable DVA-C02 real dumps in three formats. These Amazon Exams questions will surely appear in the next Amazon DVA-C02 test.

Amazon AWS Certified Developer - Associate Sample Questions (Q782-Q787):

NEW QUESTION # 782
A developer needs to add additional monitoring to an application that runs in an Amazon ECS cluster. The solution must publish and store custom metrics for the application. The developer must be able to save metadata about the custom metrics and store data with a granularity of 1 second.
Which solution will meet these requirements?

A. Monitor the containers by using Amazon ECS Exec. Use Amazon EventBridge Scheduler to run the ECS execute-command CLI command on the cluster to publish custom metrics on a schedule.
B. Use Amazon ECS Container Insights to publish custom metrics from within the application. Specify high resolution and use the metadata feature to store more data.
C. Use the Amazon CloudWatch PutMetricData API to publish the custom metrics. Set the StorageResolution field to 1. Use the dimensions parameter to assign name-value pairs to the metrics.
D. Instrument the application to use AWS X-Ray by installing and running the X-Ray daemon. Use the X- Ray SDK to upload custom metrics and metadata through traces. Segment and subsegment data.

Answer: C

Explanation:
The CloudWatch PutMetricData API is the direct mechanism for publishing custom application metrics. For 1- second granularity, the metric must be published as a high-resolution metric by setting StorageResolution to
1. Dimensions provide name-value pairs that identify and organize metrics, such as service name, tenant, environment, or operation type. X-Ray is used for distributed tracing, not for storing CloudWatch custom metrics. ECS Container Insights provides container-level observability but is not the cleanest way to publish arbitrary custom metrics with 1-second resolution from application code. ECS Exec is for interactive command execution in containers and is not a monitoring pipeline. AWS CloudWatch documentation confirms that custom high-resolution metrics can be stored at 1-second resolution and published through PutMetricData. ( AWS Documentation )

NEW QUESTION # 783
A company stores its data in data tables in a series of Amazon S3 buckets. The company received an alert that customer credit card information might have been exposed in a data table on one of the company's public applications. A developer needs to identify all potential exposures within the application environment.
Which solution will meet these requirements?

A. Use Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Personal finding type.
B. Use Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Financial finding type.
C. Use Amazon Made to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Financial finding type.
D. Use Amazon Made to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Personal finding type.

Answer: C

NEW QUESTION # 784
A company runs an application on AWS The application stores data in an Amazon DynamoDB table Some queries are taking a long time to run These slow queries involve an attribute that is not the table's partition key or sort key The amount of data that the application stores in the DynamoDB table is expected to increase significantly. A developer must increase the performance of the queries.
Which solution will meet these requirements'?

A. Turn on read capacity auto scaling for the DynamoDB table. Increase the maximum read capacity units (RCUs).
B. Perform a parallel scan operation by issuing individual scan requests in the parameters specify the segment for the scan requests and the total number of segments for the parallel scan.
C. Create a global secondary index (GSI). Set query attribute to be the partition key of the index
D. Increase the page size for each request by setting the Limit parameter to be higher than the default value Configure the application to retry any request that exceeds the provisioned throughput.

Answer: C

Explanation:
* Global Secondary Index (GSI): GSIs enable alternative query patterns on a DynamoDB table by using different partition and sort keys.
* Addressing Query Bottleneck: By making the slow-query attribute the GSI's partition key, you optimize queries on that attribute.
* Scalability: GSIs automatically scale to handle increasing data volumes.
References:
* Amazon DynamoDB Global Secondary Indexes: https://docs.aws.amazon.com/amazondynamodb
/latest/developerguide/GSI.html

NEW QUESTION # 785
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 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.
B. 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
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 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

Answer: D

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.
Reference:
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 # 786
A company has a web application that contains an Amazon API Gateway REST API. A developer has created an AWS CloudFormation template for the initial deployment of the application. The developer has deployed the application successfully as part of an AWS CodePipeline continuous integration and continuous delivery (CI/CD) process. All resources and methods are available through the deployed stage endpoint.
The CloudFormation template contains the following resource types:
* AWS::ApiGateway::RestApi
* AWS::ApiGateway::Resource
* AWS::ApiGateway::Method
* AWS:ApiGateway::Stage
* AWS::ApiGateway:;Deployment
The developer adds a new resource to the REST API with additional methods and redeploys the template.
CloudFormation reports that the deployment is successful and that the stack is in the UPDATE_COMPLETE state. However, calls to all new methods are returning 404 (Not Found) errors.
What should the developer do to make the new methods available?

A. Add an AWS CodeBuild stage lo CodePipeline to run the aws apigateway create-deployment AWS CLI command.
B. Specify the disable-rollback option during the update-stack operation.
C. Unset the Cloud Forma lion stack failure options.
D. Add an action to CodePipeline to run the aws cloudfront create-invalidation AWS CLI command.

Answer: A

NEW QUESTION # 787
......

With all DVA-C02 practice materials being brisk in the international market, our DVA-C02 practice materials are quite catches with top-ranking quality. But we do not stop the pace of making advancement by following the questions closely according to exam. So our experts make new update as supplementary updates. During your transitional phrase to the ultimate aim, our DVA-C02 practice materials as well as these updates are referential. Those materials can secede you from tremendous materials with least time and quickest pace based on your own drive and practice to win. Those updates will be sent to you accordingly for one year freely.

Test DVA-C02 King: https://www.certkingdompdf.com/DVA-C02-latest-certkingdom-dumps.html

P.S. Free & New DVA-C02 dumps are available on Google Drive shared by CertkingdomPDF: https://drive.google.com/open?id=1jZtW--lFGIYXGjPGSSEFMmOqi4GqLPfC