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NEW QUESTION: 1
A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.
The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to remove to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.
Which option will meet the company's requirements?
A. Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. The use the Amazon QuickSight to connect to Amazon EMR and perform the visualization.
B. Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.
C. Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper Bl tool that runs on Amazon EC2 to visualize the data from Amazon S3.
D. Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze EC2 to analyze the files in Amazon S3. Then use a fast in-memory BL tool running on Amazon EC2 to visualize the data.
Answer: B
Explanation:
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html https://aws.amazon.com/athena/
NEW QUESTION: 2
An application developer needs to implement an event based loan eligibility application. The application receives a Loan Request event that carries the Customer Record.
Part of the loan eligibility application logic needs to extract the customer's personal information and use it to call a web service to retrieve the customer's credit score.
How can the application developer implement this logic?
A. 1. Create a Java agent.
2. Define the agent descriptor to process the Loan Request Event and extract the Customer Record.
3. Code the Java agent to use the customer personal information from the Customer Record to call the web service that returns the customer's credit score.
B. 1. Implement an Event Handler agent for the Loan Request Event.
2. Develop a Java client to call the Web Service and package it as a JAR file.
3. Call the Java client from the Event Handler agent and pass the customer personal information to it.
C. 1. Create a Web Service agent.
2. Configure the agent to listen to the Loan Request Event.
3. Implement the Web Service call by mapping the customer personal information from the Customer Record to the Web Service operation.
D. 1. Create a rule agent.
2. Define the agent descriptor to process the Loan Request Event and extract the Customer Record.
3. Use the built in Web Service rule to invoke the Web Service, and pass the customer personal information to it.
Answer: A
NEW QUESTION: 3
A company implements Dynamics 365 for Finance and Operations.
You set up a conference room pilot. You must configure the pilot with information from another instance by using the Data management tool.
Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each selection is worth one point.
Answer:
Explanation:
NEW QUESTION: 4
A wireless engineer has performed a Wireshark capture on an 802.1x authentication process to troubleshoot a connectivity issue. Which two types of packet does the EAP contain? (Choose two.)
A. EAP request
B. EAP reply
C. EAP response
D. EAP failure
E. EAP complete
Answer: A,C