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Microsoft 070-768 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing SQL Data Models |
| Exam Number: | 70-768 |
| Certificate Validity Period: | Retired January 31, 2021; valid for 2 years when active |
| Exam Duration: | 150 minutes |
| Available Languages: | English |
| Related Certifications: | MCSE: Data Management and Analytics |
| Real Exam Qty: | 45-60 |
| Passing Score: | 700/1000 |
| Exam Format: | Multiple choice, Multiple answer |
| Exam Price: | $165 USD |
| Recommended Training: | Exam Ref 70-768 Study Guide Microsoft Official Course 20768 |
| Exam Registration: | Microsoft Learning Registration |
| Sample Questions: |  |
| Exam Way: | Proctored online or onsite testing center (before retirement) |
| Pre Condition: | No formal prerequisites; recommended experience with T-SQL, relational databases, and SSAS |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/70-768/ |
Microsoft 070-768 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop queries using MDX and DAX | 15-20% | - Build MDX queries
|
| Topic 2: Design a tabular BI semantic model | 20-25% | - Configure tabular model properties
|
| Topic 3: Design a multidimensional business intelligence (BI) semantic model | 25-30% | - Design and implement dimensions
|
| Topic 4: Configure and maintain SQL Server Analysis Services | 30-35% | - Configure SSAS instance and security
|
070-768 Exam: Your Questions, Answered
The Microsoft Developing SQL Data Models blueprint spans 4 domains — including Design a multidimensional business intelligence (BI) semantic model (25-30%), Develop queries using MDX and DAX (15-20%), Configure and maintain SQL Server Analysis Services (30-35%). Spend your hours where the percentages are; the full outline above lists every subtopic.
Yes:
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No formal prerequisites; recommended experience with T-SQL, relational databases, and SSAS Vendors adjust eligibility rules over time — verify the current requirements on the official page (official 070-768 exam page) before registering.
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Yes — download the free Microsoft Developing SQL Data Models demo and inspect real questions before paying. Your purchase then stays valid for 365 days with free updates throughout, renewable afterward at 50% off.
The Microsoft Developing SQL Data Models is Microsoft's official exam for the MCSA: SQL 2016 BI Development certification, at the Associate level. It validates practical, job-relevant skills — which is why employers shortlist certified candidates. Related credentials include MCSE: Data Management and Analytics.
Microsoft Developing SQL Data Models Sample Questions:
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:
You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:
You need to create the KPI.
Solution: You set the value of the Status expression to:
Does the solution meet the goal?
- A. No
- B. Yes
Correct Answer: B 🗳️
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS).
The model uses an in-memory cache to store and query data.
The data set is already the same size as the available RAM on the server.
Data volumes are likely to continue to increase rapidly.
Your data model contains multiple calculated tables.
The data model must begin processing each day at 2:00 and processing should be complete by
4:00 the same day.
You observe that the data processing operation often does not complete before 7:00.
This is adversely affecting team members.
You need to improve the performance.
Solution: Install solid-state disk drives to store the tabular data model.
Does the solution meet the goal?
- A. No
- B. Yes
Correct Answer: A 🗳️
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What property do you set to hide the phone number attribute in the customer dimension from slicing and dicing operations, but allows it to be included in the dimension as a member property?
- A. IsAggregatable
- B. AttributeHierarchyOrdered
- C. AttributeHierarchyVisible
- D. AttributeHierarchyEnabled
Correct Answer: D 🗳️
Drag and Drop Question
You need to configure the SalesAnalysis cube to correct the sales analysis by customer calculation.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Correct Answer:
Explanation:
Step 1: Open the cube editor, and open the Dimension Usage tab.
Step 2: Configure a relationship between the Customer dimension and the Sales measure group.
Use Day as the granularity.
From scenario: The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes.
The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
Step 3: Reprocess the cube.
Step 4: Deploy the project changes.
Topic 1, Background
Wide World Importers has multidimensional cubes named SalesAnalysis and ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
Sales Analysis
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes. The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
The SalesAnalysis model contains tables from a SQL Server database named SalesDB. You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to
24 hours old. Data analyst report performance issues when they access the SalesAnalysis model.
When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer's sales value. When analyzing sales by product, the correct totals for each product are shown.
Customer Analysis
You are redesigning the CustomerAnalysis tabular data model that will be used to analyze customer sales. You plan to add a table named CustomerPermission to the model. This table maps the Active Directory login of an employee with the CustomerId keys for all customers that the employee manages.
The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
Product Sales
The ProductSales cube allows data analysts to view sales information by product, city, and time.
Data analysts must be able to view ProductSales data by Year to Date (YTD) as a measure. The measure must be formatted as currency, associated with the Sales measure group, and contained in a folder named Calculations.
Requirements
You identify the following requirements:
- Data available during normal business hours must always be up-to-
date.
- Processing overhead must be minimized.
- Query response times must improve.
- All queries that access the SalesAnalysis model must use cached data
by default.
- Data analysts must be able to access data in near real time.
You are responsible for installing new database server instances. You must install Microsoft SQL Server Analysis Services (SSAS) to support deployment of the following projects.
You develop both projects by using SQL Server Data Tools:
- Project1 uses the tabular data model.
- Project2 uses SQL Server data mining to predict customer-purchasing
intentions by using the Decision Trees algorithm.
You need to install the appropriate services to support both projects. Which two actions should you perform?
- A. Install one tabular instance of SSAS.
- B. Install two separate tabular instances of SSAS.
- C. Install a multidimensional instance and a Power Pivot instance of SSAS on the same server.
- D. Install one multidimensional instance of SSAS.
- E. Install one tabular instance of SSAS and enable the Data Mining Extensions.
Correct Answer: A,D 🗳️
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