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.
An organization has added a clickstream to their website to analyze traffic. The website is sending each page request with the PutRecord API call to an Amazon Kinesis stream by using the page name as the partition key. During peak spikes in website traffic, a support engineer notices many ProvisionedThroughputExcededException events in the application logs.
What should be done to resolve the issue in the MOST cost-effective way?
A. Create multiple Amazon Kinesis streams for page requests to increase the concurrency of the clickstream.
B. Increase the number of shards on the Kinesis stream to allow for more throughput to meet the peak spikes in traffic.
C. Modify the application to use on the Kinesis Producer Library to aggregate requests before sending them to the Kinesis stream.
D. Attach more consumers to the Kinesis stream to process records in parallel, improving the performance on the stream.
An organization would like to run analytics on their Elastic Load Balancing logs stored in Amazon S3 and join this data with other tables in Amazon S3. The users are currently using a BI tool connecting with JDBC and would like to keep using this BI tool.
Which solution would result in the LEAST operational overhead?
A. Trigger a Lambda function when a new log file is added to the bucket to transform and load it into Amazon Redshift. Run the VACUUM command on the Amazon Redshift cluster every night.
B. Launch a long-running Amazon EMR cluster that continuously downloads and transforms new files from Amazon S3 into its HDFS storage. Use Presto to expose the data through JDBC.
C. Trigger a Lambda function when a new log file is added to the bucket to transform and move it to another bucket with an optimized data structure. Use Amazon Athena to query the optimized bucket.
D. Launch a transient Amazon EMR cluster every night that transforms new log files and loads them into Amazon Redshift.
An Operations team continuously monitors the number of visitors to a website to identify any potential system problems. The number of website visitors varies throughout the day. The site is more popular in the middle of the day and less popular at night.
Which type of dashboard display would be the MOST useful to allow staff to quickly and correctly identify system problems?
A. A vertical stacked bar chart showing today's website visitors and the historical average number of website visitors.
B. An overlay line chart showing today's website visitors at one-minute intervals and also the historical average number of website visitors.
C. A single KPI metric showing the statistical variance between the current number of website visitors and the historical number of website visitors for the current time of day.
D. A scatter plot showing today's website visitors on the X-axis and the historical average number of website visitors on the Y-axis.
An organization is using Amazon Kinesis Data Streams to collect data generated from thousands of temperature devices and is using AWS Lambda to process the data. Devices generate 10 to 12 million records every day, but Lambda is processing only around 450 thousand records. Amazon CloudWatch indicates that throttling on Lambda is not occurring.
What should be done to ensure that all data is processed? (Choose two.)
A. Increase the BatchSize value on the EventSource, and increase the memory allocated to the Lambda function.
B. Decrease the BatchSize value on the EventSource, and increase the memory allocated to the Lambda function.
C. Create multiple Lambda functions that will consume the same Amazon Kinesis stream.
D. Increase the number of vCores allocated for the Lambda function.
E. Increase the number of shards on the Amazon Kinesis stream.
An organization is currently using an Amazon EMR long-running cluster with the latest Amazon EMR release for analytic jobs and is storing data as external tables on Amazon S3.
The company needs to launch multiple transient EMR clusters to access the same tables concurrently, but the metadata about the Amazon S3 external tables are defined and stored on the long-running cluster.
Which solution will expose the Hive metastore with the LEAST operational effort?
A. Export Hive metastore information to Amazon DynamoDB hive-site classification to point to the Amazon DynamoDB table.
B. Export Hive metastore information to a MySQL table on Amazon RDS and configure the Amazon EMR hive-site classification to point to the Amazon RDS database.
C. Launch an Amazon EC2 instance, install and configure Apache Derby, and export the Hive metastore information to derby.
D. Create and configure an AWS Glue Data Catalog as a Hive metastore for Amazon EMR.
An organization is setting up a data catalog and metadata management environment for their numerous data stores currently running on AWS. The data catalog will be used to determine the structure and other attributes of data in the data stores. The data stores are composed of Amazon RDS databases, Amazon Redshift, and CSV files residing on Amazon S3. The catalog should be populated on a scheduled basis, and minimal administration is required to manage the catalog.
How can this be accomplished?
A. Set up Amazon DynamoDB as the data catalog and run a scheduled AWS Lambda function that connects to data sources to populate the database.
B. Use an Amazon database as the data catalog and run a scheduled AWS Lambda function that connects to data sources to populate the database.
C. Use AWS Glue Data Catalog as the data catalog and schedule crawlers that connect to data sources to populate the database.
D. Set up Apache Hive metastore on an Amazon EC2 instance and run a scheduled bash script that connects to data sources to populate the metastore.
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.
How should an Administrator BEST architect a large multi-layer Long Short-Term Memory (LSTM) recurrent neural network (RNN) running with MXNET on Amazon EC2? (Choose two.)
A. Use data parallelism to partition the workload over multiple devices and balance the workload within the GPUs.
B. Use compute-optimized EC2 instances with an attached elastic GPU.
C. Use general purpose GPU computing instances such as G3 and P3.
D. Use processing parallelism to partition the workload over multiple storage devices and balance the workload within the GPUs.
A company's social media manager requests more staff on the weekends to handle an increase in customer contacts from a particular region. The company needs a report to visualize the trends on weekends over the past 6 months using QuickSight.
How should the data be represented?
A. A line graph plotting customer contacts vs. time, with a line for each region
B. A pie chart per region plotting customer contacts per day of week
C. A map of regions with a heatmap overlay to show the volume of customer contacts
D. A bar graph plotting region vs. volume of social media contacts
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