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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified DevOps Engineer - Professional |
| Exam Number: | DOP-C02 |
| Exam Duration: | 180 minutes |
| Exam Format: | Multiple-choice (multiple response), Multiple-choice (single response) |
| Passing Score: | 720 (on a 100-1000 point scale, 72%) |
| Related Certifications: | AWS Certified SysOps Administrator - Associate AWS Certified Solutions Architect - Professional AWS Certified Developer - Associate |
| Available Languages: | Japanese, English, Korean, Simplified Chinese |
| Certificate Validity Period: | 3 years |
| Exam Price: | USD 300 |
| Real Exam Qty: | 75 |
| Sample Questions: | Amazon DOP-C02 Sample Questions |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: One of the following Associate-level certifications or equivalent experience:- AWS Certified Solutions Architect - Associate- AWS Certified Developer - Associate- AWS Certified SysOps Administrator - AssociateRecommended work experience: 2+ years of experience in provisioning, operating, and managing AWS environments |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-devops-engineer-professional/ |
>> DOP-C02 Latest Study Notes <<
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Amazon DOP-C02 certification exam consists of multiple-choice and multiple-response questions, which are designed to test the individual's knowledge and skills in various areas of DevOps, such as continuous integration and delivery, infrastructure as code, monitoring, and logging. DOP-C02 Exam also covers topics related to security, compliance, and automation, which are critical components of any DevOps practice.
NEW QUESTION # 391
A company built its serverless infrastructure on AWS. The infrastructure consists of an Amazon API Gateway REST API, multiple AWS Lambda functions, and Amazon EventBridge.
The company wants to be aware of any new supply chain attacks that the company's CI/CD pipelines do not catch. The company needs a solution to detect malicious activity in the deployed application.
Which solution meets these requirements?
Answer: D
Explanation:
The question focuses on detecting supply chain attacks that bypass CI/CD controls and result in malicious runtime behavior in the deployed serverless application. This requires runtime threat detection, not just static scanning or infrastructure validation.
Amazon GuardDuty is AWS's managed threat detection service. GuardDuty now includes Lambda Protection, which analyzes Lambda function behavior, including network calls, IAM API usage, and other signals to detect compromised functions, crypto-mining, data exfiltration, and other malicious activity.
GuardDuty automatically ingests CloudTrail, VPC Flow Logs (if enabled), and other telemetry without requiring code changes or agents. Findings are published and can be routed to Amazon EventBridge for near real-time notifications or automated remediation.
Option A (AWS WAF) only inspects HTTP requests to API Gateway and is focused on known bad patterns, not deeper behavioral anomalies. Option C (CloudFormation Guard) is focused on infrastructure-as-code validation in the pipeline, which explicitly does not help once malicious code is deployed. Option D (Network Firewall with Emerging Threats rules) protects VPC traffic, but serverless components like Lambda and API Gateway may not all traverse that firewall, and it is not targeted at function-level behavior.
Hence, enabling GuardDuty with Lambda Protection and using EventBridge notifications is the correct solution.
NEW QUESTION # 392
A DevOps engineer manages a company's Amazon Elastic Container Service (Amazon ECS) cluster. The cluster runs on several Amazon EC2 instances that are in an Auto Scaling group. The DevOps engineer must implement a solution that logs and reviews all stopped tasks for errors.
Which solution will meet these requirements?
Answer: C
Explanation:
The best solution to log and review all stopped tasks for errors is to use Amazon EventBridge and Amazon CloudWatch Logs. Amazon EventBridge allows the DevOps engineer to create a rule that matches task state change events from Amazon ECS. The rule can then send the event data to Amazon CloudWatch Logs as the target. Amazon CloudWatch Logs can store and monitor the log data, and also provide CloudWatch Logs Insights, a feature that enables the DevOps engineer to interactively search and analyze the log data. Using CloudWatch Logs Insights, the DevOps engineer can filter and aggregate the log data based on various fields, such as cluster, task, container, and reason. This way, the DevOps engineer can easily identify and investigate the stopped tasks and their errors.
The other options are not as effective or efficient as the solution in option A. Option B is not suitable because the embedded metric format is designed for custom metrics, not for logging task state changes. Option C is not feasible because the EC2 instances do not store the task state change events in their logs. Option D is not relevant because the EC2_INSTANCE_TERMINATING lifecycle hook is triggered when an EC2 instance is terminated by the Auto Scaling group, not when a task is stopped by Amazon ECS.
Creating a CloudWatch Events Rule That Triggers on an Event - Amazon Elastic Container Service Sending and Receiving Events Between AWS Accounts - Amazon EventBridge Working with Log Data - Amazon CloudWatch Logs Analyzing Log Data with CloudWatch Logs Insights - Amazon CloudWatch Logs Embedded Metric Format - Amazon CloudWatch Amazon EC2 Auto Scaling Lifecycle Hooks - Amazon EC2 Auto Scaling
NEW QUESTION # 393
An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. All data is stored in an Amazon Aurora database instance.
When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region.
How should the company meet these requirements with the LEAST amount of application changes?
Answer: D
NEW QUESTION # 394
A company runs an application on one Amazon EC2 instance. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance must restart or relaunch automatically if the instance becomes unresponsive.
Which solution will meet these requirements?
Answer: B
Explanation:
Explanation
https://aws.amazon.com/blogs/mt/how-to-set-up-aws-opsworks-stacks-auto-healing-notifications-in-amazon-clou
NEW QUESTION # 395
A company recently deployed its web application on AWS. The company is preparing for a large-scale sales event and must ensure that the web application can scale to meet the demand The application's frontend infrastructure includes an Amazon CloudFront distribution that has an Amazon S3 bucket as an origin. The backend infrastructure includes an Amazon API Gateway API. several AWS Lambda functions, and an Amazon Aurora DB cluster The company's DevOps engineer conducts a load test and identifies that the Lambda functions can fulfill the peak number of requests However, the DevOps engineer notices request latency during the initial burst of requests Most of the requests to the Lambda functions produce queries to the database A large portion of the invocation time is used to establish database connections Which combination of steps will provide the application with the required scalability? (Select TWO)
Answer: B,E
Explanation:
The correct answer is B and E. Configuring a higher provisioned concurrency for the Lambda functions will ensure that the functions are ready to respond to the initial burst of requests without any cold start latency. Using Amazon RDS Proxy to create a proxy for the Aurora database will enable the Lambda functions to reuse existing database connections and reduce the overhead of establishing new ones. This will also improve the scalability and availability of the database by managing the connection pool size and handling failovers. Option A is incorrect because reserved concurrency only limits the number of concurrent executions for a function, not pre-warms them. Option C is incorrect because converting the DB cluster to an Aurora global database will not address the issue of database connection latency, and may introduce additional costs and complexity. Option D is incorrect because moving the code blocks that initialize database connections into the function handlers will not improve the performance or scalability of the Lambda functions, and may actually worsen the cold start latency. References:
AWS Lambda Provisioned Concurrency
Using Amazon RDS Proxy with AWS Lambda
Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 173)
NEW QUESTION # 396
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