An administrator needs to design the event log storage architecture for events from mobile devices. The event data will be processed by an Amazon EMR cluster daily for aggregated reporting and analytics before being archived.
How should the administrator recommend storing the log data?
A. Create an Amazon S3 bucket and write log data into folders by device. Execute the EMR job on the device folders.
B. Create an Amazon DynamoDB table partitioned on the device and sorted on date, write log data to table. Execute the EMR job on the Amazon DynamoDB table.
C. Create an Amazon S3 bucket and write data into folders by day. Execute the EMR job on the daily folder.
D. Create an Amazon DynamoDB table partitioned on EventID, write log data to table. Execute the EMR job on the table.
An online retailer is using Amazon DynamoDB to store data related to customer transactions. The items in the table contains several string attributes describing the transaction as well as a JSON attribute containing the shopping cart and other details corresponding to the transaction. Average item size is 250KB, most of which is associated with the JSON attribute. The average customer generates -3GB of data per month.
Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of the queries against the table are executed when building the transaction history view, with the other 10% retrieving transaction details. The table is partitioned on CustomerID and sorted on transaction date.
The client has very high read capacity provisioned for the table and experiences very even utilization, but complains about the cost of Amazon DynamoDB compared to other NoSQL solutions.
Which strategy will reduce the cost associated with the client's read queries while not degrading quality?
A. Modify all database calls to use eventually consistent reads and advise customers that transaction history may be one second out-of-date.
B. Change the primary table to partition on TransactionID, create a GSI partitioned on customer and sorted on date, project small attributes into GSI, and then query GSI for summary data and the primary table for JSON details.
C. Vertically partition the table, store base attributes on the primary table, and create a foreign key reference to a secondary table containing the JSON data. Query the primary table for summary data
and the secondary table for JSON details.
D. Create an LSI sorted on date, project the JSON attribute into the index, and then query the primary table for summary data and the LSI for JSON details.
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?
A. Use the analysis option for data captured in each week and view the data by a date range.
B. Use a pivot table as a visual option to display measured values and weekly aggregate data as a row dimension.
C. Use a dashboard option to create an analysis of the data for each week and apply filters to visualize the data change.
D. Use a story option to preserve multiple iterations of an analysis and play the iterations sequentially.
An organization currently runs a large Hadoop environment in their data center and is in the process of creating an alternative Hadoop environment on AWS, using Amazon EMR.
They generate around 20 TB of data on a monthly basis. Also on a monthly basis, files need to be grouped and copied to Amazon S3 to be used for the Amazon EMR environment. They have multiple S3 buckets across AWS accounts to which data needs to be copied. There is a 10G AWS Direct Connect setup between their data center and AWS, and the network team has agreed to allocate
A. Use an offline copy method, such as an AWS Snowball device, to copy and transfer data to Amazon S3.
B. Configure a multipart upload for Amazon S3 on AWS Java SDK to transfer data over AWS Direct Connect.
C. Use Amazon S3 transfer acceleration capability to transfer data to Amazon S3 over AWS Direct Connect.
D. Setup S3DistCop tool on the on-premises Hadoop environment to transfer data to Amazon S3 over AWS Direct Connect.
You are designing a web application that stores static assets in an Amazon Simple Storage
Service (S3) bucket. You expect this bucket to immediately receive over 150 PUT requests per second. What should you do to ensure optimal performance?
A. Use multi-part upload.
B. Add a random prefix to the key names.
C. Amazon S3 will automatically manage performance at this scale.
D. Use a predictable naming scheme, such as sequential numbers or date time sequences, in the key names
You need to configure an Amazon S3 bucket to serve static assets for your public-facing web application. Which methods ensure that all objects uploaded to the bucket are set to public read? Choose 2 answers
A. Set permissions on the object to public read during upload
B. Configure the bucket ACL to sell all objects to public read
C. Configure the bucket policy to set all objects to public read
D. Use AWS identity and access Management roles to set the bucket to public read
E. Amazon S3 objects default to public read, so no action is needed
A company has reproducible data that they want to store on Amazon Web Services. The company may want to retrieve the data on a frequent basis. Which Amazon web services storage option allows the customer to optimize storage costs and still achieve high availability for their data?
A. Amazon S3 Reduced Redundancy Storage
B. Amazon EBS Magnetic Volume
C. Amazon Glacier
D. Amazon S3 Standard Storage
A company needs to deploy virtual desktops to its customers in a virtual private cloud, leveraging existing
security controls. Which set of AWS services and features will meet the company's requirements?
A. Virtual private network connection, AWS Directory services, and ClassicLink
B. Virtual private network connection, AWS Directory services, and Amazon WorkSpaces
C. AWS Directory service, Amazon WorkSpaces, and AWS Identity and Access Management
D. Amazon Elastic Compute Cloud, and AWS identity and access management
What is the maximum response time for a Business level Premium Support case?
A. 30 minutes
B. You always get instant responses (within a few seconds).
C. 10 minutes
D. 1 hour
Does Dynamic DB support in-place atomic updates?
A. It is not defined
B. No
C. Yes
D. It does support in-place non-atomic updates