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Q1. What is the maximum supported single-volume throughput on EBS?
A. 320IV|iB/s
B. 160MiB/s
C. 40MiB/s
D. 640MiB/s
Answer: A
Explanation:
The ceiling throughput for PIOPS on EBS is 320MiB/s.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVo|umeTypes.htm| IIIIIEZIIII HWS-IIEIIII|]S-EII§iII|}|}I‘-PI‘0I|}SSi0IIilI EIIEIII
Q2. You need to perform ad-hoc analysis on log data, including searching quickly for specific error codes and reference numbers. Which should you evaluate first?
A. AWS Elasticsearch Service
B. AWS RedShift
C. AWS EMR
D. AWS DynamoDB
Answer: A
Explanation:
Amazon Elasticsearch Service (Amazon ES) is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics.
Reference:
http://docs.aws.amazon.com/elasticsearch-service/Iatest/developerguide/what-is-amazon-elasticsearch-s ervice.htmI
Q3. What is required to achieve gigabit network throughput on EC2? You already selected cluster-compute, 10GB instances with enhanced networking, and your workload is already network-bound, but you are not seeing 10 gigabit speeds.
A. Enable biplex networking on your servers, so packets are non-blocking in both directions and there's no switching overhead.
B. Ensure the instances are in different VPCs so you don't saturate the Internet Gateway on any one VPC.
C. Select PIOPS for your drives and mount several, so you can provision sufficient disk throughput.
D. Use a placement group for your instances so the instances are physically near each other in the same Availability Zone.
Answer: D
Explanation:
You are not guaranteed 10gigabit performance, except within a placement group.
A placement group is a logical grouping of instances within a single Availability Zone. Using placement groups enables applications to participate in a low-latency, 10 Gbps network. Placement groups are recommended for applications that benefit from low network latency, high network throughput, or both. Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html
Q4. Which of these is not a Pseudo Parameter in AWS CIoudFormation?
A. AWS::StackName
B. AWS::AccountId
C. AWS::StackArn
D. AWS::NotificationARNs
Answer: C
Explanation:
This is the complete list of Pseudo Parameters: AWS::Account|d, AWS::NotificationARNs, AWS::NoVaIue, AWS::Region, AWS::StackId, AWS::StackName
Reference:
http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/pseudo-parameter-reference.html
Q5. You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your CTO?
A. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as they come in and flag issues.
B. Begin using CIoudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR clusterjobs to perform ad-hoc MapReduce analysis and write new queries when needed.
C. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to perform at-scale stream processing queries on the log chunks and flag issues.
D. Begin using CIoudWatch Logs on every service. Stream all Log Groups into an AWS Elasticsearch Service Domain running Kibana 4 and perform log analysis on a search cluster.
Answer: D
Explanation:
The Elasticsearch and Kibana 4 combination is called the ELK Stack, and is designed specifically for real-time, ad-hoc log analysis and aggregation. All other answers introduce extra delay or require pre-defined queries.
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics. Reference: https://aws.amazon.com/elasticsearch-service/
Q6. Which of these is not a reason a Mu|ti-AZ RDS instance will failover?
A. An Availability Zone outage
B. A manual failover of the DB instance was initiated using Reboot with failover
C. To autoscale to a higher instance class
D. The primary DB instance fails
Answer: C
Explanation:
The primary DB instance switches over automatically to the standby replica if any of the > following conditions occur: An Availability Zone outage, the primary DB instance fails, the DB instance's server type is changed, the operating system of the DB instance is, undergoing software patching, a manual failover
of the DB instance was initiated using Reboot with failover
Reference: http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.Mu|tiAZ.htmI
Q7. You are building out a layer in a software stack on AWS that needs to be able to scale out to react to increased demand as fast as possible. You are running the code on EC2 instances in an Auto Scaling Group behind an ELB. Which application code deployment method should you use?
A. SSH into new instances that come online, and deploy new code onto the system by pulling it from an S3 bucket, which is populated by code that you refresh from source control on new pushes.
B. Bake an AMI when deploying new versions of code, and use that AMI for the Auto Scaling Launch Configuration.
C. Create a Dockerfile when preparing to deploy a new version to production and publish it to S3. Use UserData in the Auto Scaling Launch configuration to pull down the Dockerfile from S3 and run it when new instances launch.
D. Create a new Auto Scaling Launch Configuration with UserData scripts configured to pull the latest code at all times.
Answer: B
Explanation:
the bootstrapping process can be slower if you have a complex application or multiple applications to install. Managing a fileet of applications with several build tools and dependencies can be a challenging task during rollouts. Furthermore, your deployment service should be designed to do faster rollouts to take advantage of Auto Scaling.
Reference: https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf
Q8. You need to know when you spend $1000 or more on AWS. What's the easy way for you to see that notification?
A. AWS CIoudWatch Events tied to API calls, when certain thresholds are exceeded, publish to SNS.
B. Scrape the billing page periodically and pump into Kinesis.
C. AWS CIoudWatch Metrics + Billing Alarm + Lambda event subscription. When a threshold is exceeded, email the manager.
D. Scrape the billing page periodically and publish to SNS.
Answer: C
Explanation:
Even if you're careful to stay within the free tier, it's a good idea to create a billing alarm to notify you if you exceed the limits of the free tier. Billing alarms can help to protect you against unknowingly accruing charges if you inadvertently use a service outside of the free tier or if traffic exceeds your expectations. Reference: http://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/free-tier-aIarms.htmI
Q9. When thinking of AWS Elastic Beanstalk, the 'Swap Environment URLs' feature most directly aids in what?
A. Immutable Rolling Deployments
B. MutabIe Rolling Deployments
C. Canary Deployments
D. Blue-Green Deployments
Answer: D
Explanation:
Simply upload the new version of your application and let your deployment service (AWS Elastic Beanstalk, AWS CIoudFormation, or AWS OpsWorks) deploy a new version (green). To cut over to the new version, you simply replace the ELB URLs in your DNS records. Elastic Beanstalk has a Swap
Environment URLs feature to facilitate a simpler cutover process.
Reference: https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf
Q10. You run accounting software in the AWS cloud. This software needs to be online continuously during the day every day of the week, and has a very static requirement for compute resources. You also have other, unrelated batch jobs that need to run once per day at any time of your choosing. How should you minimize cost?
A. Purchase a Heavy Utilization Reserved Instance to run the accounting software. Turn it off after hours. Run the batch jobs with the same instance class, so the Reserved Instance credits are also applied to the batch jobs.
B. Purchase a Medium Utilization Reserved Instance to run the accounting software. Turn it off after hours. Run the batch jobs with the same instance class, so the Reserved Instance credits are also applied to the batch jobs.
C. Purchase a Light Utilization Reserved Instance to run the accounting software. Turn it off after hours. Run the batch jobs with the same instance class, so the Reserved Instance credits are also applied to the batch jobs.
D. Purchase a Full Utilization Reserved Instance to run the accounting software. Turn it off after hours. Run the batch jobs with the same instance class, so the Reserved Instance credits are also applied to the batch jobs.
Answer: A
Explanation:
Because the instance will always be online during the day, in a predictable manner, and there are a sequence of batch jobs to perform at any time, we should run the batch jobs when the account software is off. We can achieve Heavy Utilization by alternating these times, so we should purchase the reservation as such, as this represents the lowest cost. There is no such thing a "FuII" level utilization purchases on EC2.
Reference: https://d0.awsstatic.com/whitepapers/Cost_Optimization_with_AWS.pdf