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To be eligible for the Amazon DVA-C02 Certification Exam, candidates should have at least one year of hands-on experience in developing and maintaining applications on AWS. They should also have a strong understanding of AWS services and architecture, as well as proficiency in at least one programming language such as Java, Python, or Ruby. DVA-C02 exam consists of 65 multiple-choice and multiple-answer questions, and candidates have 130 minutes to complete it.
Amazon DVA-C02 Exam covers a wide range of topics, including AWS core services such as EC2, S3, and RDS, as well as developer-focused services such as AWS Lambda, AWS Elastic Beanstalk, and AWS CloudFormation. Candidates are also tested on their knowledge of programming languages such as Java, Python, and JavaScript, as well as modern application development practices such as DevOps, continuous integration and delivery, and serverless architecture.
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Earning the Amazon DVA-C02 Certification demonstrates an individual's expertise in developing and deploying applications on the AWS platform. It also validates an individual's ability to use AWS services effectively to design and deploy scalable, reliable, and cost-effective applications. AWS Certified Developer - Associate certification can open up various job opportunities in the cloud computing industry, including roles such as AWS developer, cloud architect, and DevOps engineer, among others.
NEW QUESTION # 178
A developer is using AWS Elastic Beanstalk to deploy an application. The application must be able to access API keys from a third-party service. Currently, the company stores the credentials to access the third-party service in the code bundle. The company must redeploy the code bundle when the credentials rotate.
The developer wants to improve security and avoid redeployments.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
AWS Elastic Beanstalk can reference AWS Systems Manager Parameter Store values as environment variables, including secure parameters for sensitive data such as API keys. This removes the credentials from the application bundle, improves security, and avoids code redeployments when credentials change because the values are managed externally in Parameter Store and injected into the environment by Elastic Beanstalk.
NEW QUESTION # 179
A developer receives reports about slow performance in an application that uses Amazon DynamoDB. The developer reviews the application and finds a function that uses a scan operation on a large table that has more than 350,000 rows. The function returns only one or two items.
The developer needs to improve the application's performance.
Which solution will meet this requirement in the MOST operationally efficient way?
Answer: B
Explanation:
The correct answer is C because DynamoDB Scan operations are inefficient on large tables. A Scan reads every item in the table or index and then filters results, which is exactly why performance is poor when only one or two records are needed from more than 350,000 rows. AWS recommends using Query when the access pattern can be satisfied by a partition key and, when needed, a sort key condition because Query provides efficient access to the physical locations where matching data is stored. Increasing RCUs only masks the bad access pattern and increases cost. ElastiCache adds operational complexity and does not fix the inefficient DynamoDB request. DynamoDB Streams captures item changes; it does not improve read-path lookup performance.
NEW QUESTION # 180
When using the AWS Encryption SDK how does the developer keep track of the data encryption keys used to encrypt data?
Answer: B
Explanation:
Explanation
This solution will meet the requirements by using AWS Encryption SDK, which is a client-side encryption library that enables developers to encrypt and decrypt data using data encryption keys that are protected by AWS Key Management Service (AWS KMS). The SDK encrypts the data encryption key with a customer master key (CMK) that is managed by AWS KMS, and stores it (encrypted) as part of the returned ciphertext.
The developer does not need to keep track of the data encryption keys used to encrypt data, as they are stored with the encrypted data and can be retrieved and decrypted by using AWS KMS when needed. Option A is not optimal because it will require manual tracking of the data encryption keys used for each data object, which is error-prone and inefficient. Option C is not optimal because it will store the data encryption keys automatically in Amazon S3, which is unnecessary and insecure as Amazon S3 is not designed for storing encryption keys. Option D is not optimal because it will store the data encryption key in the user data for the EC2 instance, which is also unnecessary and insecure as user data is not encrypted by default.
References: [AWS Encryption SDK], [AWS Key Management Service]
NEW QUESTION # 181
A company's application uses an Amazon API Gateway REST API and AWS Lambda functions to upload media files to and fetch media files from a standard Amazon S3 Standard bucket. The company runs a nightly job on an Amazon EC2 instance to create dashboards and other visualizations for application users. The job usually runs for 1 to 2 hours.
A developer observes request throttling while the function is running. The application generates multiple 429 exceptions in the Lambda function logs when files do not process successfully. The developer needs to resolve the issue and ensure that all of the application ingests all files.
Which solution will meet these requirements?
Answer: A
Explanation:
HTTP 429 errors indicate throttling, which is typically transient. Implementing retries with exponential backoff in the Lambda functions allows requests to recover gracefully from temporary throttling and ensures the application eventually uploads and processes all files successfully.
NEW QUESTION # 182
A developer has designed a customer-facing application that is running on an Amazon EC2 instance. The application logs every request made to it. The application usually runs seamlessly, but a spike in traffic generates several logs that cause the disk to fill up and eventually run out of memory. Company policy requires old logs to be centralized for analysis. Which long-term solution should the developer employ to prevent the issue from reoccurring?
Answer: B
Explanation:
Installing the CloudWatch agent to stream logs off the instance centralizes logs for analysis and prevents disk space issues by enabling log deletion from the instance after successful upload.
This meets company policy and ensures long-term log management without filling local storage.
NEW QUESTION # 183
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