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| Section | Weight | Objectives |
|---|---|---|
| Core Data Concepts | 25-30% | - Types of core data workloads - Data analytics workloads overview - Roles and responsibilities in data work - Relational vs non-relational data |
| Analytics Workloads in Azure | 25-30% | - Azure analytics services
- Data ingestion and processing - Data visualization and reporting |
| Non-Relational Data in Azure | 15-20% | - Azure storage services
- Data processing options for non-relational data |
| Relational Data in Azure | 20-25% | - Relational data concepts - Querying relational data - Azure relational data services
|
>> Reliable DP-900 Exam Pattern <<
To pass the DP-900 exam is not an easy task. It is a challenging exam. However, proper planning and preparation with DP-900 exam questions can enable you to pass the DP-900 exam easily. As far as the Microsoft DP-900 Practice Test are concerned, these DP-900 Practice Test questions are designed and verified by Microsoft DP-900 exam trainers. So you rest assured that with DP-900 exam real questions you can pass Microsoft Azure Data Fundamentals DP-900 exam easily.
NEW QUESTION # 300
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 301
Match the types of analytics that can be used to answer the business questions.
To answer, drag the appropriate analytics type from the column on the left to its question on the right. Each analytics 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: Diagnostic
Diagnostic Analytics: At this stage you can begin to answer some of those why questions. Historical data can begin to be measured against other data to answer the question of why something happened in the past. This is the process of gathering and interpreting different data sets to identify anomalies, detect patters, and determine relationships.
Box 2: Prescriptive
Prescriptive analytics is a combination of data, mathematical models, and various business rules to infer actions to influence future desired outcomes.
Box 3: Cognitive
NEW QUESTION # 302
For each of the following statements, select yes if he statement is true, Otherwise select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 303
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;
NEW QUESTION # 304
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 valuecovering 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;
NEW QUESTION # 305
......
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