CLF-C02 Cloud Technology and Services Practice Test 2 — 15 Questions

Question 1

A development team needs to deploy a web application on AWS quickly. The team wants a fully managed service that automatically handles capacity provisioning, load balancing, auto-scaling, and application health monitoring. The team does not want to manage the underlying Amazon EC2 instances or the application stack manually. Which AWS service should the team use?

Accepted Answer

AWS Elastic Beanstalk. AWS Elastic Beanstalk is the correct choice because it is a fully managed Platform as a Service (PaaS) that automatically handles capacity provisioning, load balancing, auto-scaling, and application health monitoring without requiring the team to manage the underlying EC2 instances or application stack. It abstracts away infrastructure management, allowing developers to simply upload their code and have the service handle deployment, scaling, and monitoring out of the box.

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AWS CloudFormation

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AWS OpsWorks

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Amazon EC2 Auto Scaling

Question 2

A company is building a web application that requires a fully managed NoSQL database with single-digit millisecond latency at any scale. The application will experience unpredictable traffic spikes, and the database must automatically scale throughput capacity up and down without manual intervention. The developers want to focus on application code rather than database management tasks. Which AWS database service should the company choose?

Accepted Answer

Amazon DynamoDB. Amazon DynamoDB is a fully managed NoSQL key-value and document database that delivers single-digit millisecond latency at any scale. It supports automatic scaling of read/write throughput capacity via Auto Scaling policies, eliminating the need for manual intervention. This makes it ideal for web applications with unpredictable traffic spikes, as it offloads all database management tasks to AWS.

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Amazon RDS for MySQL

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Amazon Redshift

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Amazon ElastiCache

Question 3

A company hosts its primary web application on Amazon EC2 instances in the us-east-1 AWS Region. To meet disaster recovery requirements, the company has launched an identical set of EC2 instances in the eu-west-1 Region. The company wants to direct all user traffic to the us-east-1 endpoints under normal conditions. If us-east-1 becomes unhealthy due to a regional outage, traffic must be automatically redirected to the eu-west-1 endpoints. The company uses Amazon Route 53 as its DNS service. Which Route 53 routing policy should the company use to meet these requirements?

Accepted Answer

Failover routing. Failover routing is the correct choice because it allows you to configure an active-passive setup where Route 53 health checks monitor the primary endpoint (us-east-1). If the health check fails, Route 53 automatically routes traffic to the secondary (eu-west-1) endpoint, meeting the disaster recovery requirement.

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Geolocation routing

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Latency routing

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Weighted routing

Question 4

A company runs a monolithic web application on Amazon EC2 that processes user-uploaded files synchronously. During peak hours, the application experiences slow response times because the file processing blocks the web server. The company wants to decouple the upload process from the file processing to improve responsiveness and allow each component to scale independently. The file processing backend must poll for new work and handle failures gracefully by retrying failed messages. Which AWS service should the company use to implement this decoupling?

Accepted Answer

Amazon Simple Queue Service (SQS). Amazon Simple Queue Service (SQS) is the correct choice because it provides a fully managed message queue that decouples the upload process from the file processing backend. The web server can immediately return a response after placing a message in the SQS queue, while the backend workers poll the queue for new work. SQS also supports dead-letter queues and configurable redrive policies to handle failures gracefully by retrying failed messages.

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Amazon Simple Notification Service (SNS)

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Amazon Kinesis Data Streams

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Amazon MQ

Question 5

A DevOps team needs to deploy a multi-tier web application on AWS. The application consists of Amazon EC2 instances, an Application Load Balancer, an Amazon RDS database, and security groups. The team wants to define all these resources in a single declarative template, automatically manage the creation order and dependencies, and version control the template for repeatable deployments. Which AWS service should the team use to meet these requirements?

Accepted Answer

AWS CloudFormation. AWS CloudFormation is the correct service because it allows you to define all AWS resources (EC2, ALB, RDS, security groups) in a single declarative JSON or YAML template. It automatically manages the creation order based on resource dependencies (e.g., EC2 instances depend on security groups), supports version control of templates, and enables repeatable, consistent deployments across environments.

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AWS Elastic Beanstalk

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AWS OpsWorks

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AWS CodePipeline

Question 6

A media company hosts its website on Amazon EC2 instances in the us-east-1 Region. Static assets such as images, CSS, and JavaScript files are stored in an Amazon S3 bucket. Users across the globe report slow page load times due to high latency when fetching these assets. The company wants to deliver the static content with low latency and high transfer speeds to users worldwide, reduce the load on the EC2 instances, and add protection against common DDoS attacks. Which AWS service should the company use?

Accepted Answer

Amazon CloudFront. Amazon CloudFront is a content delivery network (CDN) that caches static assets (images, CSS, JavaScript) at edge locations worldwide, reducing latency for global users. It offloads requests from the EC2 origin by serving cached content directly from the edge, and it integrates with AWS Shield Standard to provide automatic protection against common DDoS attacks. This directly addresses the company's requirements for low latency, reduced EC2 load, and DDoS protection.

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AWS Global Accelerator

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Amazon Route 53 latency-based routing

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AWS WAF

Question 7

A development team is building a serverless image processing application. When a user uploads an image to Amazon S3, the application must perform three sequential steps: first, resize the image; second, generate a thumbnail; third, store metadata in Amazon DynamoDB. The team wants to define this workflow as a visual state machine, handle errors with retries, and manage the execution flow without writing custom orchestration code. Which AWS service should the team use?

Accepted Answer

AWS Step Functions. AWS Step Functions is the correct choice because it allows you to define a visual state machine that orchestrates three sequential steps (resize, thumbnail, metadata storage) without writing custom orchestration code. It natively supports error handling with retries and manages execution flow, making it ideal for serverless workflows that require coordination across multiple AWS services like Lambda and DynamoDB.

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Amazon Simple Queue Service (SQS)

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Amazon EventBridge

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AWS Lambda

Question 8

A company uses Amazon S3 to store raw data files for a data analytics platform. The company requires that files remain immediately accessible for the first 30 days after upload. After 30 days, files must be automatically moved to a lower-cost storage class for archival access. After 7 years, files must be automatically deleted. The company wants to implement this data management strategy with minimal ongoing effort. Which AWS S3 feature should the company use?

Accepted Answer

S3 Lifecycle policies. S3 Lifecycle policies allow you to define rules that automatically transition objects between storage classes (e.g., from S3 Standard to S3 Glacier Deep Archive) and expire (delete) objects based on object age. This directly meets the requirement to keep files immediately accessible for 30 days, move them to a lower-cost archival class after 30 days, and delete them after 7 years, all with minimal ongoing effort.

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S3 Intelligent-Tiering

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S3 Object Lock

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S3 Versioning

Question 9

A company is developing a mobile application backend. The backend needs to process REST API requests that are triggered by user actions in the app. Usage is expected to start low but may spike unpredictably. The development team wants to focus solely on writing code and does not want to manage any servers or containers. The team also wants to only pay for compute time when requests are being processed. Which AWS service should the team use to meet these requirements?

Accepted Answer

AWS Lambda. AWS Lambda is the correct choice because it is a serverless compute service that runs code in response to REST API requests via Amazon API Gateway, automatically scaling from zero to thousands of concurrent executions. The team pays only for the compute time consumed while requests are being processed, with no charges when idle, and they never need to manage servers or containers.

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Amazon EC2 Auto Scaling

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AWS Fargate

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Amazon API Gateway

Question 10

A company runs a critical web application on Amazon EC2 instances in the us-east-1 Region, with a secondary standby deployment in us-west-2 for disaster recovery. The application requires that user traffic be directed to the nearest healthy endpoint, automatically failover to the secondary region if the primary region becomes unavailable, and the company needs two static IP addresses that remain fixed regardless of infrastructure changes. The application uses TCP and UDP protocols. Which AWS service should the company use to meet these requirements?

Accepted Answer

AWS Global Accelerator. AWS Global Accelerator is the correct choice because it provides two static anycast IP addresses that remain fixed regardless of infrastructure changes, directs traffic to the nearest healthy endpoint using the AWS global network, and supports automatic failover between regions for both TCP and UDP traffic. It also integrates with Network Load Balancers, Application Load Balancers, or EC2 instances to route traffic to the closest healthy endpoint, meeting all stated requirements.

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Amazon Route 53

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Amazon CloudFront

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Elastic Load Balancing

Question 11

A company runs hundreds of Amazon EC2 instances for its application. The operations team manually reviews instance utilization metrics once a month to identify instances that are over-provisioned (e.g., using only 10% of CPU) or under-provisioned. They want to automate this analysis and receive rightsizing recommendations to optimize costs and performance. The solution must be natively provided by AWS and must use historical utilization data to generate recommendations. Which AWS service should the company use?

Accepted Answer

AWS Compute Optimizer. AWS Compute Optimizer is the correct choice because it is a native AWS service that uses machine learning to analyze historical utilization metrics (such as CPU, memory, and network) across EC2 instances and automatically generates rightsizing recommendations. It specifically identifies over-provisioned and under-provisioned instances to optimize both cost and performance, meeting the requirement for automated analysis based on historical data.

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AWS Trusted Advisor

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AWS Cost Explorer

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AWS Systems Manager

Question 12

A company hosts a file-sharing platform on Amazon S3. The application bucket is in the us-west-2 (Oregon) Region. Users in Europe and Asia experience slow upload speeds when transferring large files. The company wants to improve upload performance by using AWS edge locations to accelerate data transfers to the bucket. The solution must work with standard S3 PUT operations and require minimal application changes. Which AWS feature should the company enable?

Accepted Answer

Amazon S3 Transfer Acceleration. Amazon S3 Transfer Acceleration (C) uses AWS edge locations to route uploads over the optimized AWS network backbone, reducing latency for geographically distant clients. It works with standard S3 PUT operations and requires only enabling the feature on the bucket and updating the endpoint URL, minimizing application changes.

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Amazon CloudFront

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AWS Direct Connect

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AWS Global Accelerator

Question 13

A company is developing a real-time multiplayer game that requires extremely low latency (under 10ms) for player interactions. The game will be accessed by mobile users on 5G networks in select metropolitan areas. The company wants to run the game server logic as close to the users as possible, leveraging the low latency of 5G and avoiding the round trip to an AWS Region. Which AWS service should the company use to deploy the game server compute at the edge of the 5G network?

Accepted Answer

AWS Wavelength. AWS Wavelength is designed specifically to bring AWS compute and storage services to the edge of 5G networks, embedding AWS infrastructure within telecommunications providers' data centers. This enables sub-10ms latency for mobile users by eliminating the round trip to a regional AWS Region, making it ideal for real-time multiplayer game server logic on 5G.

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AWS Outposts

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AWS Local Zones

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AWS Global Accelerator

Question 14

A company is building a global e-commerce application that requires a database with single-digit millisecond latency, seamless scaling to handle millions of requests per second, and the ability to replicate data across multiple AWS Regions for disaster recovery and low-latency reads. The database must be fully managed with automatic backup and restores. Which AWS service should the company choose?

Accepted Answer

Amazon DynamoDB. Amazon DynamoDB is the correct choice because it is a fully managed NoSQL key-value and document database that delivers single-digit millisecond latency at any scale, supports automatic multi-Region replication via DynamoDB Global Tables for disaster recovery and low-latency reads, and provides built-in backup and restore capabilities. This combination of performance, seamless scaling to millions of requests per second, and global replication aligns perfectly with the requirements of a global e-commerce application.

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Amazon Aurora

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Amazon RDS for MySQL

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Amazon Redshift

Question 15

A media company runs a video-on-demand platform on AWS. Video files (.mp4) and thumbnail images (.jpg) are stored in the same Amazon S3 bucket. The company uses Amazon CloudFront to deliver content to users globally. The video files are large and do not change frequently, so the company wants them to be cached at CloudFront edge locations for 30 days. Thumbnails change more often when new uploads are processed, so the company wants them to be cached for only 1 day. The company wants a single CloudFront distribution to serve both types of content from the same S3 bucket. Which configuration should the company use to meet these requirements with minimal operational overhead?

Accepted Answer

Create two CloudFront behaviors: one for the path pattern /videos/* and one for /thumbnails/*. Associate a cache policy with a TTL of 30 days to the video behavior and a cache policy with a TTL of 1 day to the thumbnail behavior. Both behaviors point to the same S3 origin.. Option B is correct because CloudFront allows multiple behaviors within a single distribution, each with its own path pattern and cache policy. By configuring path patterns /videos/* and /thumbnails/*, the company can apply a 30-day TTL cache policy to video requests and a 1-day TTL cache policy to thumbnail requests, both pointing to the same S3 origin. This meets the caching requirements with minimal operational overhead, as it avoids custom code or multiple distributions.

Answer

Create one CloudFront behavior for all content. Set a cache policy with a TTL of 30 days. Create a Lambda@Edge function to override the TTL to 1 day for requests with .jpg extension.

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Create two separate CloudFront distributions: one for videos with a cache policy of 30 days, and one for thumbnails with a cache policy of 1 day. Point both to the same S3 bucket.

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In the S3 bucket, create two folders: /videos and /thumbnails. Use S3 Cross-Region Replication to replicate thumbnails to a separate bucket in a different Region. Create a single CloudFront behavior with a cache policy of 1 day for the thumbnail bucket and a separate behavior for the original bucket.