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Demo Questions:
Question: 1
A financial services company needs to aggregate daily stock trade data from the exchanges into a data
store. The company requires that data be streamed directly into the data store, but also occasionally
allows data to be modified using SQL. The solution should integrate complex, analytic queries running
with minimal latency. The solution must provide a business intelligence dashboard that enables viewing
of the top contributors to anomalies in stock prices.
Which solution meets the company’s requirements?
A. Use Amazon Kinesis Data Firehose to stream data to Amazon S3. Use Amazon Athena as a data source
for Amazon QuickSight to create a business intelligence dashboard.
B. Use Amazon Kinesis Data Streams to stream data to Amazon Redshift. Use Amazon Redshift as a data
source for Amazon QuickSight to create a business intelligence dashboard.
C. Use Amazon Kinesis Data Firehose to stream data to Amazon Redshift. Use Amazon Redshift as a data
source for Amazon QuickSight to create a business intelligence dashboard.
D. Use Amazon Kinesis Data Streams to stream data to Amazon S3. Use Amazon Athena as a data source
for Amazon QuickSight to create a business intelligence dashboard.
Answer: D
Question: 2
A financial company hosts a data lake in Amazon S3 and a data warehouse on an Amazon Redshift
cluster.
The company uses Amazon QuickSight to build dashboards and wants to secure access from its
onpremises
Active Directory to Amazon QuickSight.
How should the data be secured?
A. Use an Active Directory connector and single sign-on (SSO) in a corporate network environment.
B. Use a VPC endpoint to connect to Amazon S3 from Amazon QuickSight and an IAM role to
authenticate Amazon Redshift.
C. Establish a secure connection by creating an S3 endpoint to connect Amazon QuickSight and a VPC
endpoint to connect to Amazon Redshift.
D. Place Amazon QuickSight and Amazon Redshift in the security group and use an Amazon S3 endpoint
to connect Amazon QuickSight to Amazon S3.
Answer: B
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