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AWS Certified Data Analytics - Specialty

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AWS Certified Data Analytics - Specialty Questions and Answers

Questions 1

A technology company is creating a dashboard that will visualize and analyze time-sensitive data. The data will come in through Amazon Kinesis DataFirehose with the butter interval set to 60 seconds. The dashboard must support near-real-time data.

Which visualization solution will meet these requirements?

Options:

A.

Select Amazon Elasticsearch Service (Amazon ES) as the endpoint for Kinesis Data Firehose. Set up a Kibana dashboard using the data in Amazon ES with the desired analyses and visualizations.

B.

Select Amazon S3 as the endpoint for Kinesis Data Firehose. Read data into an Amazon SageMaker Jupyter notebook and carry out the desired analyses and visualizations.

C.

Select Amazon Redshift as the endpoint for Kinesis Data Firehose. Connect Amazon QuickSight with SPICE to Amazon Redshift to create the desired analyses and visualizations.

D.

Select Amazon S3 as the endpoint for Kinesis Data Firehose. Use AWS Glue to catalog the data and Amazon Athena to query it. Connect Amazon QuickSight with SPICE to Athena to create the desired analyses and visualizations.

Questions 2

A large energy company is using Amazon QuickSight to build dashboards and report the historical usage data of its customers This data is hosted in Amazon Redshift The reports need access to all the fact tables' billions ot records to create aggregation in real time grouping by multiple dimensions

A data analyst created the dataset in QuickSight by using a SQL query and not SPICE Business users have noted that the response time is not fast enough to meet their needs

Which action would speed up the response time for the reports with the LEAST implementation effort?

Options:

A.

Use QuickSight to modify the current dataset to use SPICE

B.

Use AWS Glue to create an Apache Spark job that joins the fact table with the dimensions. Load the data into a new table

C.

Use Amazon Redshift to create a materialized view that joins the fact table with the dimensions

D.

Use Amazon Redshift to create a stored procedure that joins the fact table with the dimensions Load the data into a new table

Questions 3

A marketing company collects clickstream data The company sends the data to Amazon Kinesis Data Firehose and stores the data in Amazon S3 The company wants to build a series of dashboards that will be used by hundreds of users across different departments The company will use Amazon QuickSight to develop these dashboards The company has limited resources and wants a solution that could scale and provide daily updates about clickstream activity

Which combination of options will provide the MOST cost-effective solution? (Select TWO )

Options:

A.

Use Amazon Redshift to store and query the clickstream data

B.

Use QuickSight with a direct SQL query

C.

Use Amazon Athena to query the clickstream data in Amazon S3

D.

Use S3 analytics to query the clickstream data

E.

Use the QuickSight SPICE engine with a daily refresh

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