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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your
convenience, the scenario is repeated in each question. Each question presents a different goal
and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit.
(Click the Exhibit button.)

You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit button.)

You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory[Subcategory] contains NULL values.
End of Repeated Scenario.
You implement the Power BI model.
You plan to add a table named Date to the model. The table will have columns for the date, year, month,
and end of the last month, and will include data from January 1, 2013 to December 31, 2015.
The Date table and the Sales table will have a relationship.
Which DAX functions should you use to create the columns?
A. CALENDAR, YEAR, MONTH, and ENDOFMONTH
B. CALENDARAUTO, YEAR, MONTH, and ENDOFMONTH
C. CALENDARAUTO, YEAR, MONTH, and EOMONTH
D. CALENDAR, YEAR, MONTH, and EOMONTH
Answer: D
Explanation:
Explanation/Reference:
References:
https://msdn.microsoft.com/en-us/query-bi/dax/calendar-function-dax
https://msdn.microsoft.com/en-us/query-bi/dax/year-function-dax
https://msdn.microsoft.com/en-us/query-bi/dax/month-function-dax
https://msdn.microsoft.com/en-us/query-bi/dax/eomonth-function-dax

NEW QUESTION: 2



A. Option A
B. Option C
C. Option D
D. Option E
E. Option B
Answer: D

NEW QUESTION: 3
What is the Purchase Price of a repo?
A. The market value of bond collateral at the start of the repo at the dirty price of the bond
B. The market value of bond collateral at the start of the repo at the clean price of the bond
C. The amount of cash actually paid for collateral at the start of the repo
D. The amount of cash actually paid for collateral at the start of the repo plus repo interest
Answer: C

NEW QUESTION: 4
A company captures clickstream data from multiple websites and analyzes it using batch processing. The data is loaded nightly into Amazon Redshift and is consumed by business analysts. The company wants to move towards near-real-time data processing for timely insights. The solution should process the streaming data with minimal effort and operational overhead.
Which combination of AWS services are MOST cost-effective for this solution? (Choose two.)
A. AWS Lambda
B. Amazon Kinesis Data Analytics
C. Amazon Kinesis Data Firehose
D. Amazon EC2
E. Amazon Kinesis Data Streams
Answer: B,E
Explanation:
Explanation
Kinesis Data Streams and Kinesis Client Library (KCL) - Data from the data source can be continuously captured and streamed in near real-time using Kinesis Data Streams.
With the Kinesis Client Library (KCL), you can build your own application that can preprocess the streaming data as they arrive and emit the data for generating incremental views and downstream analysis.
Kinesis Data Analytics - This service provides the easiest way to process the data that is streaming through Kinesis Data Stream or Kinesis Data Firehose using SQL. This enables customers to gain actionable insight in near real-time from the incremental stream before storing it in Amazon S3.

https://d1.awsstatic.com/whitepapers/lambda-architecure-on-for-batch-aws.pdf