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NEW QUESTION: 1
A large bank was planning to offload existing data from a data warehouse into Hadoop and use SQL queries to access historical data. Which one of the following statements is true for using HiveQL?
A. All of the above
B. Hive supports all ANSI SQL 2011 syntax
C. It does not support nested sub-queries
D. It supports four logical operators in query predicates: IN, NOT IN, EXISTS, and NOT EXISTS
Answer: D
Explanation:
Explanation/Reference:
Reference: https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.5/bk_data-access/content/hive-
013-feature-subqueries-in-where-clauses.html

NEW QUESTION: 2
An application is throwing unhandled NullReferenceException and FormatException errors. The stack trace shows that the exceptions occur in the GetWebResult()method.
The application includes the following code to parse XML data retrieved from a web service. (Line numbers are included for reference only.)

You need to handle the exceptions without interfering with the existing error-handling infrastructure.
Which two actions should you perform? (Each correct answer presents part of the solution. Choose two.)

A. Option C
B. Option A
C. Option B
D. Option D
Answer: A,B
Explanation:
Explanation/Reference:
Explanation:
A: The TryParse method is like the Parse method, except the TryParse method does not throw an exception if the conversion fails. It eliminates the need to use exception handling to test for a FormatException in the event that s is invalid and cannot be successfully parsed.
C: UnhandledException event handler
If the UnhandledException event is handled in the default application domain, it is raised there for any unhandled exception in any thread, no matter what application domain the thread started in. If the thread started in an application domain that has an event handler for UnhandledException, the event is raised in that application domain.

NEW QUESTION: 3
You have a Microsoft Power BI data model that contains three tables named Sales, Product, and Date.
The Sales table has an existing measure named [Total Sales] that sums the total sales from the Sales table.
You need to write a calculation that returns the percentage of total sales that a selected ProductCategoryName value represents. The calculation must respect any slicers on ProductCategoryName and must show the percentage of visible total sales. For example, if there are four ProductCategoryName values, and a user filters one out, a table showing ProductCategoryName and the calculation must sum up to 100 percent.
How should you complete the calculation? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: CALCULATE
CALCULATE rvaluates an expression in a modified filter context.
Box 2: DIVIDE
As a data modeler, when you write a DAX expression to divide a numerator by a denominator, you can choose to use the DIVIDE function or the divide operator (/ - forward slash).
When using the DIVIDE function, you must pass in numerator and denominator expressions.
Box 3: ALLSELECTED
ALLSELECTED removes context filters from columns and rows in the current query, while retaining all other context filters or explicit filters.
The ALLSELECTED function gets the context that represents all rows and columns in the query, while keeping explicit filters and contexts other than row and column filters. This function can be used to obtain visual totals in queries.
Example:
measure 'Reseller Sales'[Reseller Visual Total]=calculate(sum('Reseller Sales'[Sales Amount]), ALLSELECTED()) Reference:
https://docs.microsoft.com/en-us/dax/allselected-function-dax