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The AWS Certified DevOps Engineer - Professional exam is a challenging certification that requires candidates to demonstrate their understanding of various AWS services, tools, and DevOps practices. DOP-C01 exam covers a wide range of topics, such as continuous integration and delivery, infrastructure as code, monitoring and logging, security and compliance, and deployment strategies.
To prepare for the DOP-C01 Certification Exam, candidates can take advantage of various resources, including AWS training courses, practice exams, and online forums. AWS offers a comprehensive set of training courses that cover all the topics included in the exam. Additionally, AWS provides practice exams to help candidates familiarize themselves with the exam format and types of questions they may encounter.
Amazon DOP-C01 AWS Certified DevOps Engineer - Professional Dumps - Easy To Prepare Exam [2025]
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The DOP-C01 exam covers a broad range of topics, including continuous delivery and deployment, infrastructure as code, monitoring and logging, security, and compliance. DOP-C01 exam is designed to test the candidate's knowledge and skills in these areas and their ability to apply them in real-world scenarios. DOP-C01 Exam also assesses the candidate's ability to use AWS services and tools to design and implement scalable, highly available, and fault-tolerant systems.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q205-Q210):
NEW QUESTION # 205
You are designing a service that aggregates clickstream data in batch and delivers reports to subscribers via email only once per week. Data is extremely spikey, geographically distributed, high-scale, and unpredictable.
How should you design this system?
- A. Use AWS Elasticsearch service and EC2 Auto Scaling groups. The Autoscaling groups scale based on click throughput and stream into the Elasticsearch domain, which is also scalable. Use Kibana to generate reports periodically.
- B. Use a large RedShift cluster to perform the analysis, and a fleet of Lambdas to perform record inserts into the RedShift tables. Lambda will scale rapidly enough for the traffic spikes.
- C. Use API Gateway invoking Lambdas which PutRecords into Kinesis, and EMR running Spark performing GetRecords on Kinesis to scale with spikes. Spark on EMR outputs the analysis to S3, which are sent out via email.
- D. Use a CloudFront distribution with access log delivery to S3. Clicks should be recorded as querystring GETs to the distribution. Reports are built and sent by periodically running EMR jobs over the access logs in S3.
Answer: D
Explanation:
Because you only need to batch analyze, anything using streaming is a waste of money. CloudFront is a Gigabit-Scale HTTP(S) global request distribution service, so it can handle scale, geo-spread, spikes, and unpredictability. The Access Logs will contain the GET data and work just fine for batch analysis and email using EMR. Can you use Amazon CloudFront if you expect usage peaks higher than 10 Gbps or 15,000 RPS?
Yes. Complete our request for higher limits here, and we will add more capacity to your account within two business days.
Reference:
https://aws.amazon.com/cloudfront/faqs/
NEW QUESTION # 206
What flag would you use to limit a Docker container's memory usage to 128 megabytes?
- A. -memory 128m
- B. -m 128MB
- C. -m 128m
- D. --memory-reservation 128m
Answer: C
Explanation:
Docker can enforce hard memory limits, which allow the container to use no more than a given amount of user or system memory, or soft limits, which allow the container to use as much memory as it needs unless certain conditions are met, such as when the kernel detects low memory or contention on the host machine. Some of these options have different effects when used alone or when more than one option is set.
Most of these options take a positive integer, followed by a suffix of b, k, m, g, to indicate bytes, kilobytes, megabytes, or gigabytes.
Option -m or --memory=
Description The maximum amount of memory the container can use. If you set this option, the minimum allowed value is 4m (4 megabyte).
Reference: https://docs.docker.com/engine/admin/resource_constraints/#memory
NEW QUESTION # 207
After conducting a disaster recovery exercise, an Enterprise Architect discovers that a large team of Database and Storage Administrators need more than seven hours of manual effort to make a flagship application's database functional in a different AWS Region. The Architect also discovers that the recovered database is often missing as much as two hours of data transactions.
Which solution provides improved RTO and RPO in a cross-region failover scenario?
- A. Use Amazon SNS topics to receive published messages from Amazon RDS availability and backup events. Use AWS Lambda for three separate functions with calls to Amazon RDS to snapshot a database instance, create a cross-region snapshot copy, and restore an instance from a snapshot. Use a scheduled Amazon CloudWatch Events rule at a frequency matching the RPO to trigger the Lambda function to snapshot a database instance. Trigger the Lambda function to create a cross-region snapshot copy when the SNS topic for backup events receives a new message. Configure the Lambda function to restore an instance from a snapshot to trigger sending new messages published to the availability SNS topic.
- B. Deploy an Amazon RDS Multi-AZ instance backed by a multi-region Amazon EFS. Configure the RDS option group to enable multi-region availability for native automation of cross-region recovery and continuous data replication. Create an Amazon SNS topic subscribed to RDS-impacted events to send emails to the Database Administration team when significant query Latency is detected in a single Availability Zone.
- C. Use Amazon RDS scheduled instance lifecycle events to create a snapshot and specify a frequency to match the RPO. Use Amazon RDS scheduled instance lifecycle event configuration to perform a cross-region snapshot copy into the failover region upon SnapshotCreateComplete events. Configure Amazon CloudWatch to alert when the CloudWatch RDS namespace CPUUtilization metric for the database instance falls to 0% and make a call to Amazon RDS to restore the database snapshot in the failover region.
- D. Create a scheduled Amazon CloudWatch Events rule to make a call to Amazon RDS to create a snapshot from a database instance and specify a frequency to match the RPO. Create an AWS Step Functions task to call Amazon RDS to perform a cross-region snapshot copy into the failover region, and configure the state machine to execute the task when the RDS snapshot create state is complete.
Create an SNS topic subscribed to RDS availability events, and push these messages to an Amazon SQS queue located in the failover region. Configure an Auto Scaling group of worker nodes to poll the queue for new messages and make a call to Amazon RDS to restore a database from a snapshot after a checksum on the cross-region copied snapshot returns valid.
Answer: A
NEW QUESTION # 208
What does it mean if you have zero IOPS and a non-empty I/O queue for all EBS volumes attached to a
running EC2 instance?
- A. The I/O queue is buffer flushing.
- B. Your EBS disk head(s) is/are seeking magnetic stripes.
- C. The EBS volume is unavailable.
- D. You need to re-mount the EBS volume in the OS.
Answer: C
Explanation:
This is the definition of Unavailable from the EC2 and EBS SLA.
"Unavailable" and "Unavailability" mean... For Amazon EBS, when all of your attached volumes perform
zero read write IO, with pending IO in the queue.
Reference: https://aws.amazon.com/ec2/sla/
NEW QUESTION # 209
A DevOps Engineer is responsible for the deployment of a PHP application. The Engineer is working in a hybrid deployment, with the application running on both on-premises servers and Amazon EC2 instances. The application needs access to a database containing highly confidential information. Application instances need access to database credentials, which must be encrypted at rest and in transit before reaching the instances. How should the Engineer automate the deployment process while also meeting the security requirements?
- A. Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM policy for allowing access, and decrypt only the database credentials. Attach the IAM policy to the role associated to the instance profile for CodeDeploy-managed instances, and to the role used for on-premises instances registration on CodeDeploy.
- B. Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials in the AppSpec file. Define an IAM policy for allowing access to only the database credentials. Attach the IAM policy to the role associated to the instance profile for CodeDeploy-managed instances and the role used for on-premises instances registration on CodeDeploy
- C. Use AWS Elastic Beanstalk with a PHP platform configuration to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM role for Amazon EC2 allowing access, and decrypt only the database credentials. Associate this role to all the instances.
- D. Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM role with an attached policy that allows decryption of the database credentials. Associate this role to all the instances and on-premises servers.
Answer: A
NEW QUESTION # 210
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