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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
| Topic 2: Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
| Topic 3: Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Topic 4: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
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NEW QUESTION # 197
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation
Box 1: Batch
Batch processing refers to the processing of blocks of data that have already been stored over a period of time.
Box 2: Streaming
Stream processing is a big datatechnology that allows us to process data in real-time as they arrive and detect conditions within a small period of time from the point of receiving the data. It allows us to feed data into analytics tools as soon as they get generated and get instant analytics results.
Box 3: Batch
NEW QUESTION # 198
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl
NEW QUESTION # 199
You have a table named Sales that contains the following data.
You need to query the table to return the average sales amount day. The output must produce the following results.
How should you complete the query? 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: SELECT
Box 2: GROUP BY
Example:
When used with a GROUP BY clause, each aggregate function produces a single value covering each group, instead of a single value covering the whole table. The following example produces summary values for each sales territory in the AdventureWorks2012 database. The summary lists the average bonus received by the sales people in each territory, and the sum of year-to-date sales for each territory.
SELECT TerritoryID, AVG(Bonus)as 'Average bonus', SUM(SalesYTD) as 'YTD sales' FROM Sales.SalesPerson GROUP BY TerritoryID; Reference:
https://docs.microsoft.com/en-us/sql/t-sql/functions/avg-transact-sql
NEW QUESTION # 200
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Hierarchical namespace
https://learn.microsoft.com/en-us/dynamics365/customer-insights/own-data-lake-storage
NEW QUESTION # 201
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://teachcomputerscience.com/relational-databases/
NEW QUESTION # 202
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