AWS Certified Developer Associate Practice Test (DVA-C02)
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AWS Certified Developer Associate DVA-C02 Information
AWS Certified Developer - Associate showcases knowledge and understanding of core AWS services, uses, and basic AWS architecture best practices, and proficiency in developing, deploying, and debugging cloud-based applications by using AWS. Preparing for and attaining this certification gives certified individuals more confidence and credibility. Organizations with AWS Certified developers have the assurance of having the right talent to give them a competitive advantage and ensure stakeholder and customer satisfaction.
The AWS Certified Developer - Associate (DVA-C02) exam is intended for individuals who perform a developer role. The exam validates a candidate’s ability to demonstrate proficiency in developing, testing, deploying, and debugging AWS Cloud-based applications. The exam also validates a candidate’s ability to complete the following tasks:
- Develop and optimize applications on AWS.
- Package and deploy by using continuous integration and continuous delivery (CI/CD) workflows.
- Secure application code and data.
- Identify and resolve application issues.

- Free AWS Certified Developer Associate DVA-C02 Practice Test
- 20 Questions
- Unlimited
- Development with AWS ServicesSecurityDeploymentTroubleshooting and Optimization
What deployment strategy gradually shifts traffic from a previous version of an application to the latest version, enabling the ability to monitor the effects on a subset of users before full deployment?
- Canary deployment 
- Blue/green deployment 
- Resume-based deployment 
- Rolling updates 
Answer Description
A canary deployment strategy involves rolling out changes to a small subset of users to test the impact before deploying it to the entire infrastructure. This minimizes the risk as it allows for monitoring and quick rollback if necessary. Blue/green deployment involves switching traffic between two identical environments that only differ in the version of the application they are running. Rolling updates incrementally replace the previous version with a new version across all hosts. Resume-based deployment is not a recognized AWS deployment strategy.
Ask Bash
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Why is a canary deployment considered low-risk?
What tools in AWS support canary deployments?
How does canary deployment differ from blue/green deployment?
A software company utilizes AWS Lambda for deploying a mission-critical application. In their upcoming release, they plan to incorporate a canary release strategy to introduce a new feature incrementally while mitigating risks. Assuming they already have a Lambda alias for their production environment, how should the company configure the alias to slowly route a small percentage of user traffic to the new feature while the majority still accesses the stable version?
- Deploy the new feature as a new Lambda function and update the production alias configuration to point solely to the new function, relying on Lambda's inherent traffic shifting capabilities. 
- Deploy the new version as a separate Lambda function without an alias and manually invoke the new function to represent a percentage of total traffic. 
- Adjust the production alias to serve both the old and the new Lambda versions, and configure the alias routing with a small weight towards the new version, gradually increasing it based on the monitoring results. 
- Configure the Lambda alias to immediately redirect 100% of traffic to the new version to test the new feature in live conditions. 
Answer Description
The team should update their production alias to point to both the old and new versions of the Lambda function and then use version weights within the alias configuration to specify the percentage of traffic that each version receives. This setup allows them to control the traffic flow and incrementally increase the weight towards the new version as confidence in stability increases. Assigning 100% to one version, updating the function code directly, or deploying without aliases, does not provide the gradual traffic shifting capability required for a canary release strategy. Therefore, careful allocation of weights to the alias is the correct approach.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is a Lambda alias, and why is it important?
How does alias routing with version weights work in AWS Lambda?
What metrics or tools can be used to monitor the stability of a new Lambda version during a canary release?
A developer is tasked with ensuring an application that stores personally identifiable information (PII) complies with various international data protection regulations. While implementing encryption for all PII at rest and in transit is a critical security measure, why is this action alone insufficient to guarantee full compliance globally?
- Because modern encryption algorithms are not recognized by most international data protection laws. 
- Because encryption keys managed by the customer are not compliant with any data protection standard. 
- Because regulations often include additional requirements such as data sovereignty, retention policies, and data subject rights. 
- Because regulations require data to be stored only in plaintext format for auditing purposes. 
Answer Description
Encrypting personally identifiable information (PII) is a fundamental best practice and a technical measure mentioned by many data protection regulations like GDPR. However, it does not single-handedly ensure compliance. Global regulations have a wide range of other requirements, such as establishing a lawful basis for processing data, adhering to data retention and minimization principles, respecting data subject rights (e.g., the right to access or be forgotten), and complying with data sovereignty rules that may dictate the physical location where data is stored. Therefore, compliance requires a holistic approach that includes legal, organizational, and multiple technical controls, not just encryption.
Ask Bash
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What is data sovereignty, and why is it important for compliance?
What are data subject rights, and how do they impact application design?
What are retention policies, and how do they affect data management practices?
A developer is troubleshooting a multi-service application running on AWS. To debug intermittent errors, the developer needs to record specific, searchable information, such as a user ID and order ID, within the application's transaction traces. This will allow them to filter traces for specific user sessions or transactions.
Which AWS service should the developer use to add these indexed, key-value pairs as annotations to the trace data?
- AWS Lambda 
- Amazon CloudWatch Logs 
- Amazon Inspector 
- AWS X-Ray 
Answer Description
The correct answer is AWS X-Ray. AWS X-Ray helps developers analyze and debug distributed applications. It allows developers to add annotations, which are indexed key-value pairs, to trace data. This enables powerful filtering and searching capabilities, such as finding all traces associated with a specific user ID, which is exactly what the scenario requires.
- Amazon CloudWatch Logs is used for collecting and monitoring logs, not for adding indexed annotations to distributed traces.
- AWS Lambda is a compute service that runs code. While you can instrument Lambda functions to send data to X-Ray, Lambda itself is not the tracing service.
- Amazon Inspector is an automated security assessment service that helps improve the security and compliance of applications deployed on AWS; it does not handle application tracing.
Ask Bash
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What are annotations and how are they used in AWS X-Ray?
How does AWS X-Ray integrate with microservices architectures?
What is the difference between AWS X-Ray and Amazon CloudWatch for monitoring applications?
A developer is building an application on an Amazon EC2 instance that requires a connection to an Amazon RDS for PostgreSQL database. For security compliance, the database credentials must be stored securely and automatically rotated every 30 days without requiring manual intervention or application code changes for the rotation to occur. Which AWS service should the developer use to meet these requirements MOST effectively?
- AWS Systems Manager Parameter Store 
- AWS Key Management Service (KMS) 
- AWS Secrets Manager 
- AWS IAM Identity Center 
Answer Description
AWS Secrets Manager is the correct choice because it is specifically designed for securely storing secrets and provides native, automated rotation capabilities for services like Amazon RDS. While AWS Systems Manager Parameter Store can store secrets, it does not offer built-in automatic rotation functionality; this would require a custom solution. AWS Key Management Service (KMS) is used to manage the encryption keys that protect secrets, but it does not manage or rotate the secrets themselves. AWS IAM Identity Center is used for managing user access to AWS accounts and applications, not for programmatic secrets management.
Ask Bash
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How does AWS Secrets Manager handle automatic rotation of secrets?
What are the primary differences between AWS Secrets Manager and Systems Manager Parameter Store?
Why is AWS Key Management Service (KMS) not suitable for managing database credentials?
A development team needs to allow an external consultant's account to access a specific Amazon S3 bucket to store and retrieve files essential for a joint project. The external consultant should not be given user credentials within the team's AWS account. What type of policy should the development team attach to the S3 bucket to allow access directly to the bucket itself?
- IAM group policy 
- Service control policy (SCP) 
- Identity-based policy attached to a user 
- Resource-based policy (e.g., S3 bucket policy) 
Answer Description
A resource-based policy, specifically an S3 bucket policy, is the correct method to directly grant permissions on the S3 bucket to entities in another AWS account without sharing any user credentials. This policy allows the external account to assume the necessary permissions. While a service control policy (SCP) applies to all IAM entities in an AWS Organizations account and does not grant permissions to outside accounts, and IAM user policies are attached directly to users within your account, not to resources.
Ask Bash
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What is a resource-based policy in AWS?
How does an S3 bucket policy differ from an IAM policy?
What are examples of conditions you can use in an S3 bucket policy?
A software team has noticed that a serverless function, which processes incoming streaming data, is occasionally hitting its maximum execution time, resulting in incomplete tasks. The function's workload involves complex computations and varying sizes of data payloads. To enhance the processing efficiency and reduce the likelihood of timeouts, which of the following adjustments should be the team's initial step?
- Allocate more memory to the serverless function. 
- Implement a distributed tracing service to examine the function's behavior in detail. 
- Extend the maximum allowed execution time for the function. 
- Manually optimize the function by removing lines of code to decrease the execution time. 
Answer Description
Allocating more memory to the serverless function can lead to an improvement in the compute capacity available to the function. Since the compute capacity scales with the memory size, this can decrease execution time for complex tasks and large data payloads. Thus, timeouts are less likely to occur. Extending the function's execution time may alleviate symptoms but does not address performance inefficiency and may increase costs without solving the real issue. Removing code lines is a practice of code optimization, but without a strategy, it can be ineffective at solving the problem. Moreover, it is not a configuration setting that can be adjusted for performance tuning. Diagnostic tracing with a tool can highlight performance issues, but it does not directly improve execution time.
Ask Bash
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Why does allocating more memory to a serverless function improve performance?
What happens if you just extend the execution time of a serverless function?
How does distributed tracing help with serverless functions?
Which service should a developer use to track the requests that travel through multiple components of a distributed system, helping to understand the application's behavior and identify bottlenecks?
- Inspector 
- CloudFormation 
- CloudTrail 
- X-Ray 
Answer Description
The correct service for tracking requests in a distributed system, providing an end-to-end view of requests as they travel through the application, is intended to enable developers to analyze and debug systems. It helps in creating a map of services used by an application with detailed latency information for each service component. The other options listed are not primarily used for application tracing. CloudTrail is for auditing API use, Inspector for security assessments, and CloudFormation for infrastructure management.
Ask Bash
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What is AWS X-Ray and how does it work?
What is the main difference between AWS X-Ray and CloudTrail?
What are some key features of AWS X-Ray that help identify bottlenecks?
When preparing a microservice for deployment that requires multiple sensitive configurations, which approach would ensure the secure and environment-agnostic management of these settings?
- Fetch the configurations from the host's instance metadata service upon container initialization 
- Embed the configurations into the application code within the container image 
- Dynamically inject the configurations using a secrets management service at container startup 
- Declare sensitive environment variables within the build specification file of the container 
Answer Description
Using a secrets management service to dynamically inject configurations at runtime ensures that the microservice remains environment-agnostic and that sensitive information is not stored within the container image. This approach promotes security and flexibility in configuration management, essential for maintaining best practices in cloud application deployments. Hard-coding settings violates security best practices and reduces flexibility. Instance metadata is meant for obtaining information about the host, not for storing sensitive configuration data. Defining sensitive information as environment variables within the image build process exposes them in the image layers, which is not secure.
Ask Bash
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What is a secrets management service in AWS?
Why is embedding sensitive configurations in container images considered insecure?
How does dynamic configuration injection promote environment-agnostic design?
A developer is tasked with setting up a serverless architecture for processing incoming data requests from web clients. The system should respond with a client error status code and a structured message when a submission does not conform to the expected input format. Which serverless components should the developer configure to ensure these requirements are met?
- Configure Amazon CloudFront custom error responses to intercept and reshape the return provided by the backend services. 
- Leverage Amazon API Gateway's request validation feature and tailor the integration response to deliver a structured message upon failure. 
- Utilize a dedicated AWS Lambda function to perform input validation and shape the error return upon detecting non-conforming data. 
- Implement AWS Step Functions to orchestrate input validation and construct an error document to be issued when an invalid request is detected. 
Answer Description
The developer should use Amazon API Gateway's built-in request validators for checking the conformity of incoming data structures. If a submission fails validation, API Gateway can be configured to transform and return a structured message by modifying the integration response. This directly fulfills the need to send a client error status and a specific message format without the need to write additional code in AWS Lambda. Other options either introduce unnecessary complexity or do not provide the means to send structured messages directly from the gateway.
Ask Bash
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How does Amazon API Gateway's request validation feature work?
What are integration responses in Amazon API Gateway?
Why not use AWS Lambda for input validation instead of API Gateway?
A company is looking to encrypt data at rest for their Amazon DynamoDB table, which contains sensitive information. They want to guarantee that the encryption does not affect the performance of their application. Which service should they use to accomplish this without managing server-side encryption themselves?
- Enable Amazon DynamoDB's default encryption at rest using AWS managed keys 
- Create an IAM role with a policy that enforces encryption at rest 
- Implement client-side encryption before storing the data in the DynamoDB table 
- Force all connections to the DynamoDB table to use SSL/TLS 
Answer Description
Using AWS managed encryption with Amazon DynamoDB provides transparent data encryption at rest without affecting the performance of the application. It uses AWS Key Management Service (AWS KMS) to manage the encryption keys, which eliminates the overhead of managing server-side encryption directly. While client-side encryption could also protect data at rest, it would add complexity to the application and could impact performance. Additionally, SSL/TLS ensures encryption in transit but does not encrypt data at rest, and IAM roles are used for access control and do not address encryption needs.
Ask Bash
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What is AWS KMS and how does it manage encryption keys?
Why is default encryption at rest better for performance compared to client-side encryption?
What is the difference between encryption in transit and encryption at rest?
What process involves converting an object into a data format that can be stored and reconstructed later?
- Serialization 
- Decoding 
- Encoding 
- Normalizing 
Answer Description
Serialization is the process of converting an object into a data format that can be easily stored or transmitted and later deserialized to recreate the original object. This concept is key in application development for storing data in a format that the data store can understand and interact with. Deserialization is the reverse process, taking data structured in a specific format and building it back into an object. Encoding and Decoding refer to the process of converting data from one form to another, particularly when discussing character sets (such as UTF-8) or binary data. They can be part of the serialization process, but in themselves are not equivalent to serializing or deserializing objects.
Ask Bash
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Why is serialization important in application development?
What are commonly used serialization formats?
How does deserialization impact security?
A web application is experiencing unpredictable traffic spikes and the development team needs to ensure that it can scale to meet demand efficiently. Which of the following strategies would BEST ensure that the application can handle the increased load without provisioning excessive infrastructure?
- Provision a larger Amazon EC2 instance size to permanently support higher traffic. 
- Use AWS Lambda functions for all backend processes to handle the variable load. 
- Increase the Amazon RDS read replica count to handle higher database read volumes. 
- Implement AWS Auto Scaling with an Elastic Load Balancer to distribute traffic across multiple compute resources. 
Answer Description
Using AWS Auto Scaling in conjunction with Elastic Load Balancing (ELB) allows the application to handle the increased load efficiently. Auto Scaling adjusts the amount of compute resources automatically based on the demand, while ELB distributes ingress application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses. This combination is the most effective and cost-efficient way of managing unpredictable traffic spikes because it ensures that the application can scale out (add resources) or scale in (remove resources) as needed. Provisioning a larger EC2 instance size would not be as cost-effective because it would involve paying for potentially unutilized resources during off-peak times. Increasing the database read replica count can improve database read scalability but would not address the application's overall ability to handle traffic spikes. Using AWS Lambda alone without implementing scaling mechanisms does provide scalability in certain scenarios but does not guarantee optimal resource management for the described web application scenario.
Ask Bash
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How does AWS Auto Scaling work with Elastic Load Balancing?
What are the benefits of using AWS Auto Scaling for unpredictable traffic?
Why is using a larger Amazon EC2 instance less effective than Auto Scaling?
An organization has several AWS accounts and must grant developers read-only access to shared Amazon S3 documentation buckets. The security team wants to avoid creating and maintaining custom policies in every account, preferring permissions that are centrally maintained and automatically updated by AWS. Which IAM policy type should the team attach to developer roles to meet these requirements?
- Resource-based policy on every S3 bucket 
- AWS managed policy 
- Customer-managed policy 
- Inline policy embedded in each role 
Answer Description
AWS managed policies are pre-built, centrally maintained policies that AWS updates as new services and permissions become available. Attaching an AWS managed policy such as ReadOnlyAccess gives developers the required access without the security team having to author or maintain custom JSON documents. Customer-managed and inline policies would require ongoing upkeep, and a resource-based bucket policy would not scale to all roles or other services.
Ask Bash
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What are managed policies in AWS IAM?
How do AWS-managed policies differ from customer-managed policies?
Why should you consider using AWS-managed policies over inline or custom policies?
A developer is building a microservices-based e-commerce application hosted on AWS. The checkout and catalog services read frequently accessed product data from an Amazon Aurora MySQL database. During seasonal traffic spikes, database read latency increases, slowing page loads. The developer wants to add a fully managed, in-memory cache that is compatible with open-source Redis and Memcached so that the team can integrate quickly without significant code changes. Which AWS service should the developer choose?
- Amazon MemoryDB for Redis 
- Amazon ElastiCache 
- Amazon DynamoDB Accelerator (DAX) 
- AWS AppConfig 
Answer Description
Amazon ElastiCache offers a fully managed, in-memory caching service that supports both Redis and Memcached engines. Choosing ElastiCache allows the developer to deploy a cache cluster or serverless cache in minutes, offloading undifferentiated tasks such as patching and scaling while preserving API compatibility with existing open-source clients. Amazon MemoryDB for Redis is Redis-only, DynamoDB Accelerator works only with DynamoDB tables, and AWS AppConfig does not provide caching. Therefore, ElastiCache is the only option that meets all stated requirements.
Ask Bash
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What is Amazon ElastiCache?
How does ElastiCache differ from Amazon MemoryDB for Redis?
Why can't DynamoDB Accelerator (DAX) be used for this scenario?
Your application, hosted on multiple Amazon EC2 instances, needs to perform periodic data processing tasks on an Amazon S3 bucket. The tasks require the application to have read, write, and list permissions on the bucket. To align with security best practices, which action should you take to grant these S3 permissions to the application?
- Attach an IAM managed policy with the required S3 permissions directly to the EC2 instances. 
- Create an IAM role with the specified S3 permissions and attach it to the EC2 instances using an instance profile. 
- Create an IAM user for each EC2 instance with permissions to access the S3 bucket and store the credentials in a configuration file on each instance. 
- Configure a resource-based policy on the S3 bucket to grant the EC2 instances the required permissions. 
Answer Description
Attaching an instance profile that contains an IAM role with the necessary S3 permissions to your EC2 instances is the recommended solution for this scenario. This allows the application to assume the IAM role and obtain temporary credentials, which can be used to access the S3 bucket. The use of an instance profile ensures that the EC2 instance can securely make API calls to AWS services on behalf of the user that assumed the role. Unlike static credentials, these permissions are automatically rotated and managed by AWS. Creating individual IAM users is not scalable for multiple instances, and hard-coding credentials is a security risk and violates the AWS recommended practice of not embedding secrets in code. Using a resource-based policy on the S3 bucket is not possible, as it cannot grant the necessary EC2 instance permissions to assume a role.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is an IAM role and how is it different from an IAM user?
What is an instance profile in the context of IAM roles?
What are the security benefits of attaching an IAM role to an EC2 instance compared to hard-coding credentials?
A development team is building a new application entirely within the AWS ecosystem. They plan to use AWS CodePipeline for their CI/CD workflow and IAM for granular access control. For source control, the team requires a fully managed, scalable, and secure private Git repository. Which service should they use to meet these requirements with the least operational overhead?
- Rely on AWS CodePipeline to host and manage the version control for the source code. 
- Use Bitbucket repositories and create custom scripts to synchronize code to Amazon S3 for backups and integration. 
- Implement GitHub repositories and configure a webhook to trigger AWS CodePipeline. 
- Use AWS CodeCommit for its native integration and managed source control capabilities. 
Answer Description
AWS CodeCommit provides a secure, highly scalable, managed source control service that hosts private Git repositories. It is the best choice because it integrates natively with other AWS services like IAM and CodePipeline, which aligns with the team's existing technology stack and minimizes operational overhead. GitHub and Bitbucket are third-party services that require additional configuration for integration. AWS CodePipeline is an orchestration service for CI/CD and does not host source code repositories itself.
Ask Bash
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What is CodeCommit and how does it compare to other Git repository services?
What are the main differences between CodeCommit and CodePipeline?
Why is using a native service like CodeCommit advantageous over third-party solutions like GitHub?
A software engineer is tasked with enabling an application, hosted on a virtual server, to interact with a cloud object storage service for uploading and downloading data. The engineer needs to implement a secure method of authentication that obviates the need to hardcode or manually input long-term credentials. What is the most appropriate strategy to achieve this while adhering to security best practices?
- Manually enter the user credentials for the service at the start of each application session on the virtual server. 
- Save the service user's access credentials in a text file on the root directory of the virtual server for the application to use. 
- Hardcode the service user's access credentials in the source code of the application on the virtual server. 
- Assign a role to the virtual server that grants appropriate permissions to interact with the object storage service. 
Answer Description
Assigning a role to the virtual server that specifies the permissions for the object storage service is the most secure and manageably sound approach, allowing the application to access resources without the need to embed or manually enter credentials. This method leverages the capability of the virtual server to use temporary credentials that are automatically rotated, preventing the risks associated with hardcoding or exposing long-term credentials.
Ask Bash
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What is an IAM role in AWS?
How does assigning a role to a virtual server improve security?
What is the difference between an IAM user and an IAM role?
Your company runs a mission-critical REST API in an Amazon ECS service behind an Application Load Balancer. Management requires that all future updates be released with zero user-visible downtime and that you can instantly roll back if problems occur. Which AWS CodeDeploy deployment option best meets these requirements?
- Blue/green deployment that launches a replacement task set and shifts traffic after validation 
- All-at-once deployment that replaces every running task simultaneously 
- Rolling (in-place) deployment that updates one running task at a time 
- Linear 10 percent every 1 minute canary deployment 
Answer Description
A blue/green deployment creates a replacement task set in a separate target group, lets you validate the new version, and then redirects production traffic in a single cutover. Because traffic is switched only after the green environment is confirmed healthy, the API remains fully available and you can revert by pointing the load balancer back to the blue environment. Rolling (in-place) and linear or canary updates modify the running tasks; although they minimize risk, they still change the live environment and can reduce capacity or surface issues during the rollout. An all-at-once update replaces every task at once, making downtime likely.
Ask Bash
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What is a blue/green deployment?
How does an Application Load Balancer work with blue/green deployments?
What is the difference between blue/green and rolling deployments?
A company is developing a real-time analytics application that will process and visualize data from social media feeds. The application needs to be able to handle varying volumes of incoming data, with potential bursts of high traffic during specific events. Which AWS service should the developers use to efficiently collect, process, and deliver these real-time streaming data feeds to downstream analytics tools?
- Amazon S3 
- Amazon RDS 
- Amazon Kinesis Data Streams 
- Amazon DynamoDB 
Answer Description
Amazon Kinesis Data Streams is the appropriate service for real-time data collection and processing of streaming data at scale. It can handle large streams of data from potentially thousands of sources, with low latencies for processing and the ability to scale according to the throughput needed.
 
 Amazon DynamoDB, while capable of handling high-throughput and providing low-latency access to data, is not designed to be a data streaming service. Instead, it is optimized for use as a NoSQL database with strong consistency and performance at scale for application data storage.
 
 Amazon S3 is an object storage service well-suited for storing and retrieving large amounts of data, but it is not optimized for real-time data streaming scenarios.
 
 Amazon RDS is a relational database service that also does not provide a solution for real-time streaming data, as it is intended for managing relational databases and not for processing data streams.
Ask Bash
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What are some common use cases for Amazon Kinesis Data Streams?
How does Amazon Kinesis differ from Amazon S3 for handling data?
How can developers manage varying data volumes with Kinesis Data Streams?
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