Online Access Free AWS-Big-Data-Specialty Practice Test

What happens to the I/O operations while you take a database snapshot?

• A.I/O operations to the database are sent to a Replica (if available) for a few minutes while the backup is in progress.
• B.I/O operations to the database are suspended for an hour while the backup is in progress.
• C.I/O operations to the database are suspended for a few minutes while the backup is in progress.
• D.I/O operations will be functioning normally

Amazon RDS supports SOAP only through __________.

• A.HTTPS
• B.HTTP or HTTPS
• C.TCP/IP
• D.HTTP

An organization's data warehouse contains sales data for reporting purposes. data governance policies prohibit staff from accessing the customers' credit card numbers.
How can these policies be adhered to and still allow a Data Scientist to group transactions that use the same credit card number?

• A.Mask the credit card numbers to only show the last four digits of the credit card number.
• B.Encrypt the credit card number with a symmetric encryption key, and give the key only to the authorized Data Scientist.
• C.Store a cryptographic hash of the credit card number.
• D.Encrypt the credit card number with an asymmetric encryption key and give the decryption key only to the authorized Data Scientist.

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.Create a Kinesis Analytics application by using the RANDOM_CUT_FOREST function to detect an anomaly. When the anomaly score that is returned from the function is outside of an acceptable range, a message is sent to the anomaly stream to open the valve.
• B.Attach a Kinesis Firehose to the stream and persist the sensor data in an Amazon S3 bucket. Schedule an AWS Lambda function to run a query in Amazon Athena against the data in Amazon S3 to identify anomalies. When a change is detected, the Lambda function sends a message to the anomaly stream to open the valve.
• C.Launch an Amazon EMR cluster that uses Spark Streaming to connect to the Kinesis stream and Spark machine learning to detect anomalies. When a change is detected, the Spark application sends a message to the anomaly stream to open the valve.
• D.Launch a fleet of Amazon EC2 instances with a Kinesis Client Library application that consumes the stream and aggregates sensor data over time to identify anomalies. When an anomaly is detected, the application sends a message to the anomaly stream to open the valve.

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 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.
• B.A vertical stacked bar chart showing today's website visitors and the historical average number of website visitors.
• C.A scatter plot showing today's website visitors on the X-axis and the historical average number of website visitors on the Y-axis.
• D.An overlay line chart showing today's website visitors at one-minute intervals and also the historical average number of website visitors.