A data engineer is running a DWH on a 25-node Redshift cluster of a SaaS service. The data engineer needs to build a dashboard that will be used by customers. Five big customers represent 80% of usage, and there is a long tail of dozens of smaller customers. The data engineer has selected the dashboarding tool.
How should the data engineer make sure that the larger customer workloads do NOT interfere with the smaller customer workloads?
Answer : B
https://docs.aws.amazon.com/redshift/latest/dg/c_workload_mngmt_classification.html
A company operates an international business served from a single AWS region. The company wants to expand into a new country. The regulator for that country requires the Data Architect to maintain a log of financial transactions in the country within 24 hours of production transaction. The production application is latency insensitive. The new country contains another AWS region.
What is the most cost-effective way to meet this requirement?
Answer : D
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/AccessLogs.html
You have a web application that is currently running on a collection of micro instance types in a single AZ
behind a single load balancer. You have an Auto Scaling group configured to scale from 2 to 64 instances. When reviewing your CloudWatch metrics, you see that sometimes your Scaling group is running 64 micro instances. The web application is reading and writing to a DyanamoDB-configured backend and configured with 800 Write Capacity units and 800 Read Capacity units. Your customers are complaining that they are experiencing load times when viewing you website. You have investigated the DynamoDB CloudWatch metrics; you are under the provisioned read and Write Capacity units and there is no throttling.
How do you scale your service to improve the load times and ensure the principles of high availability?
Answer : D
There are thousands of text files on Amazon S3. The total size of the files is 1 PB. The files contain retail order information for the past 2 years. A data engineer needs to run multiple interactive queries to manipulate the data. The data Engineer has AWS access to spin up an Amazon EMR cluster. The data Engineer needs to use an application on the cluster to process this data and return the results in interactive time frame. Which application on the cluster should be the data engineer use?
Answer : D
Fill in the blanks: _____ is a durable, block-level storage volume that you can attach to a single, running Amazon EC2 instance.
Answer : B
An organization is soliciting public feedback through a web portal that has been deployed to track the number of requests and other important data. As part of reporting and visualization, AmazonQuickSight connects to an Amazon RDS database to virtualize data. Management wants to understand some important metrics about feedback and how the feedback has changed over the last four weeks in a visual representation.
What would be the MOST effective way to represent multiple iterations of an analysis in Amazon QuickSight that would show how the data has changed over the last four weeks?
Answer : D
https://docs.aws.amazon.com/quicksight/latest/user/working-with-stories.html
Amazon S3 doesn't automatically give a user who creates _____ permission to perform other actions on that bucket or object.
Answer : B