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Amazon BDS-C00 Practice Test - Questions Answers, Page 7

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Question 61

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A company hosts a portfolio of e-commerce websites across the Oregon, N. Virginia, Ireland, and Sydney AWS regions. Each site keeps log files that capture user behavior. The company has built an app

Question 62

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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 interactiv

Question 63

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A media advertising company handles a large number of real-time messages sourced from over 200 websites. The company's data engineer needs to collect and process records in real time for analysis us

Question 64

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A solutions architect for a logistics organization ships packages from thousands of suppliers to end customers. The architect is building a platform where suppliers can view the status of one or mor

Question 65

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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 weeken

Question 66

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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.)

Question 67

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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, AmazonQuic

Question 68

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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

Question 69

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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

Question 70

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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 re

Related questions

A travel website needs to present a graphical quantitative summary of its daily bookings to website visitors for marketing purposes. The website has millions of visitors per day, but wants to control costs by implementing the least-expensive solution for this visualization. What is the most cost-effective solution?

Multiple rows in an Amazon Redshift table were accidentally deleted. A System Administrator is restoring the table from the most recent snapshot. The snapshot contains all rows that were in the table before the deletion. What is the SIMPLEST solution to restore the table without impacting users?

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

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 customer has an Amazon S3 bucket. Objects are uploaded simultaneously by a cluster of servers from multiple streams of data. The customer maintains a catalog of objects uploaded in Amazon S3 using an Amazon DynamoDB table. This catalog has the following fileds: StreamName, TimeStamp, and ServerName, from which ObjectName can be obtained. The customer needs to define the catalog to support querying for a given stream or server within a defined time range. Which DynamoDB table scheme is most efficient to support these queries?

A gas company needs to monitor gas pressure in their pipelines. Pressure data is streamed from sensors placed throughout the pipelines to monitor the data in real time. When an anomaly is detected, the system must send a notification to open valve. An Amazon Kinesis stream collects the data from the sensors and an anomaly Kinesis stream triggers an AWS Lambda function to open the appropriate valve. Which solution is the MOST cost-effective for responding to anomalies in real time?

A company uses Amazon Redshift for its enterprise data warehouse. A new on-premises PostgreSQL OLTP DB must be integrated into the data warehouse. Each table in the PostgreSQL DB has an indexed last_modified timestamp column. The data warehouse has a staging layer to load source data into the data warehouse environment for further processing. The data lag between the source PostgreSQL DB and the Amazon Redshift staging layer should NOT exceed four hours. What is the most efficient technique to meet these requirements?

An organization is designing an application architecture. The application will have over 100 TB of data and will support transactions that arrive at rates from hundreds per second to tens of thousands per second, depending on the day of the week and time of day. All transaction data, must be durably and reliably stored. Certain read operations must be performed with strong consistency. Which solution meets these requirements?

A medical record filing system for a government medical fund is using an Amazon S3 bucket to archive documents related to patients. Every patient visit to a physician creates a new file, which can add up millions of files each month. Collection of these files from each physician is handled via a batch process that runs everу night using AWS Data Pipeline. This is sensitive data, so the data and any associated metadata must be encrypted at rest. Auditors review some files on a quarterly basis to see whether the records are maintained according to regulations. Auditors must be able to locate any physical file in the S3 bucket for a given date, patient, or physician. Auditors spend a significant amount of time location such files. What is the most cost- and time-efficient collection methodology in this situation?

A customer needs to determine the optimal distribution strategy for the ORDERS fact table in its Redshift schema. The ORDERS table has foreign key relationships with multiple dimension tables in this schema. How should the company determine the most appropriate distribution key for the ORDERS table?

Question 61

A company hosts a portfolio of e-commerce websites across the Oregon, N. Virginia, Ireland, and Sydney AWS regions. Each site keeps log files that capture user behavior. The company has built an application that generates batches of product recommendations with collaborative filtering in Oregon. Oregon was selected because the flagship site is hosted there and provides the largest collection of data to train machine learning models against. The other regions do NOT have enough historic data to train accurate machine learning models.

Which set of data processing steps improves recommendations for each region?

Use the e-commerce application in Oregon to write replica log files in each other region.

Use Amazon S3 bucket replication to consolidate log entries and build a single model in Oregon.

Use Kinesis as a buffer for web logs and replicate logs to the Kinesis stream of a neighboring region.

Use the CloudWatch Logs agent to consolidate logs into a single CloudWatch Logs group.

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Question 62

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 the data engineer use?

Oozie

Apache Pig with Tachyon

Apache Hive

Presto

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Question 63

A media advertising company handles a large number of real-time messages sourced from over 200 websites. The company's data engineer needs to collect and process records in real time for analysis using Spark Streaming on Amazon Elastic MapReduce (EMR). The data engineer needs to fulfill a corporate mandate to keep ALL raw messages as they are received as a top priority. Which Amazon Kinesis configuration meets these requirements?

Publish messages to Amazon Kinesis Firehose backed by Amazon Simple Storage Service (S3). Pull messages off Firehose with Spark Streaming in parallelto persistence to Amazon S3.

Publish messages to Amazon Kinesis Streams. Pull messages off Streams with Spark Streaming in parallel to AWS Lambda pushing messages fromStreams to Firehose backed by Amazon Simple Storage Service (S3).

Publish messages to Amazon Kinesis Firehose backed by Amazon Simple Storage Service (S3). Use AWS Lambda to pull messages from Firehose toStreams for processing with Spark Streaming.

Publish messages to Amazon Kinesis Streams, pull messages off with Spark Streaming, and write raw data to Amazon Simple Storage Service (S3) beforeand after processing.

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Question 64

A solutions architect for a logistics organization ships packages from thousands of suppliers to end customers. The architect is building a platform where suppliers can view the status of one or more of their shipments. Each supplier can have multiple roles that will only allow access to specific fields in the resulting information.

Which strategy allows the appropriate level of access control and requires the LEAST amount of management work?

Send the tracking data to Amazon Kinesis Streams. Use AWS Lambda to store the data in an Amazon DynamoDB Table. Generate temporary AWScredentials for the suppliers' users with AWS STS, specifying fine-grained securitypolicies to limit access only to their applicable data.

Send the tracking data to Amazon Kinesis Firehose. Use Amazon S3 notifications and AWS Lambda to prepare files in Amazon S3 with appropriate data foreach supplier's roles. Generate temporary AWS credentials for the suppliers'users with AWS STS. Limit access to the appropriate files through security policies.

Send the tracking data to Amazon Kinesis Streams. Use Amazon EMR with Spark Streaming to store the data in HBase. Create one table per supplier. UseHBase Kerberos integration with the suppliers' users. Use HBase ACL-basedsecurity to limit access for the roles to their specific table and columns.

Send the tracking data to Amazon Kinesis Firehose. Store the data in an Amazon Redshift cluster. Create views for the suppliers' users and roles. Allowsuppliers access to the Amazon Redshift cluster using a user limited to theapplicable view.

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Question 65

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 line graph plotting customer contacts vs. time, with a line for each region

A pie chart per region plotting customer contacts per day of week

A map of regions with a heatmap overlay to show the volume of customer contacts

A bar graph plotting region vs. volume of social media contacts

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Question 66

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.)

Use data parallelism to partition the workload over multiple devices and balance the workload within the GPUs.

Use compute-optimized EC2 instances with an attached elastic GPU.

Use general purpose GPU computing instances such as G3 and P3.

Use processing parallelism to partition the workload over multiple storage devices and balance the workload within the GPUs.

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Question 67

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?

Use the analysis option for data captured in each week and view the data by a date range.

Use a pivot table as a visual option to display measured values and weekly aggregate data as a row dimension.

Use a dashboard option to create an analysis of the data for each week and apply filters to visualize the data change.

Use a story option to preserve multiple iterations of an analysis and play the iterations sequentially.

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Question 68

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?

Set up Amazon DynamoDB as the data catalog and run a scheduled AWS Lambda function that connects to data sources to populate the database.

Use an Amazon database as the data catalog and run a scheduled AWS Lambda function that connects to data sources to populate the database.

Use AWS Glue Data Catalog as the data catalog and schedule crawlers that connect to data sources to populate the database.

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.

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Question 69

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?

Export Hive metastore information to Amazon DynamoDB hive-site classification to point to the Amazon DynamoDB table.

Export Hive metastore information to a MySQL table on Amazon RDS and configure the Amazon EMR hive-site classification to point to the Amazon RDSdatabase.

Launch an Amazon EC2 instance, install and configure Apache Derby, and export the Hive metastore information to derby.

Create and configure an AWS Glue Data Catalog as a Hive metastore for Amazon EMR.

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Question 70

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.)

Increase the BatchSize value on the EventSource, and increase the memory allocated to the Lambda function.

Decrease the BatchSize value on the EventSource, and increase the memory allocated to the Lambda function.

Create multiple Lambda functions that will consume the same Amazon Kinesis stream.

Increase the number of vCores allocated for the Lambda function.

Increase the number of shards on the Amazon Kinesis stream.

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Total 85 questions