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Developing SQL Data Models 70-768 Exam
Developing SQL Data Models 70-768 Exam which is related to MCP and MCSA Certification. This exam validates the ability to design, develop and create multidimensional databases, create a multidimensional database by using Microsoft SQL Server Analysis Services, Design and implement dimensions in a cube. It also deals with the ability to implement basic MDX structures and functions, including tuples, sets, and top count and monitor performance and analyze query plans by using extended events and profiler.
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NEW QUESTION 31
You are optimizing a Microsoft SQL Server Analysis Services (SSAS) multidimensional model over a SQL Server database.
You have a table named City which has several dimensions that do not contain a space in their names.
One dimension is named SalesTerritory rather than Sales Territory.
You need to ensure that Report developers can drag the attribute name to the report rather than having to re-label the attributes by implementing spaces.
You must minimize administrative effort and not break any upstream processes.
What should you do?
- A. In SQL Server Management Studio, navigate to the City table, expand the columns, press F2, and rename the columns in the base tables.
- B. In the SQL Server database, implement a SYNONYM.
- C. In the SQL Server database, implement a view over the City table that aliases the columns in the tables.
- D. In the SQL Server database, run the system procedure sp_rename to rename the columns in the base tables with the target name.
Answer: C
NEW QUESTION 32
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 an existing multidimensional cube that provides sales analysis. The users can slice by date, product, location, customer, and employee.
The management team plans to evaluate sales employee performance relative to sales targets. You identify the following metrics for employees:
You need to implement the KPI based on the Status expression.
Solution: You design the following solution:
Does the solution meet the goal?
- A. No
- B. Yes
Answer: A
NEW QUESTION 33
Drag and Drop Question
You are a business analyst for a company that uses a Microsoft SQL Server Analysis Services (SSAS) tabular database for reporting. The database model contains the following tables:
You have been asked to write a query for a report that returns the total sales for each product subcategory, as well as for each product category.
You need to write the query to return the data for the report.
How should you complete the DAX statement? To answer, drag the appropriate DAX segment to the correct locations. Each DAX segment 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.
Answer:
Explanation:
Explanation:
Box 1:EVALUATE
Box 2:SUMMERIZE
Box 3:ROLLUP
Box 4:'Product Subcategory' ['Product Subcategory Name]
Note: The behavior of SUMMARIZE is similar to the GROUP BY syntax of a SELECT statement in SQL. For example, consider the following query.
EVALUATE
SUMMARIZE(
'Internet Sales',
'Internet Sales'[Order Date],
"Sales Amount", SUM( 'Internet Sales'[Sales Amount] ) )
This query calculates the total of Sales Amount for each date in which there is at least one order, producing this result.
NEW QUESTION 34
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
Answer: B
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION 35
Hotspot Question
A database named DB2 uses the InMemory query mode. Users frequently run the following query:
You need to configure SQL Server Profiler to determine why the query is performing poorly.
Which three event should you monitor on the SQL Server Profiler trace events configuration page? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
By using SQL Profiler, you can intercept two classes of trace events from Analysis Services, DAX Query Plan and DirectQuery events, both generated by the DirectQuery engine. Here, in this scenario we have a DAX Query.
DAX Query Plan events are generated by the DAX formula. By using the In-Memory mode, you store a copy of data in the xVelocity (VertiPaq) storage engine.
Figure: This is how a query is executed by using In-Memory mode.
NEW QUESTION 36
You are building a Microsoft SQL Server Analysis Services multidimensional model over a
SQL Server database. In a cube named OrderAnalysis, there is a standard cube dimension named Stock Item.
This dimension has the following attributes:
Users report that the attributes Stock Item Key and Photo are distracting and are not providing any value. They have asked for the attributes to be removed. However, these attributes are needed by other cubes.
You need to hide the specified attributes from the end users of the OrderAnalysis cube.
You do not want to change the structure of the dimension.
Which change should you make to the properties for the Stock Item Key and Photo attributes?
- A. Set the Usage property to Regular.
- B. Set the AttributeHierarchyEnabledproperty to False.
- C. Set the AttributeHierarchyVisible property to False.
- D. Set the AttributeVisibility property to Hidden.
- E. Set the AttributeHierarchyDisplayFolder property to Hidden.
Answer: C
Explanation:
The value of the AttributeHierarchyEnabled property determines whether an attribute hierarchy is created. If this property is set to False, the attribute hierarchy is not created and the attribute cannot be used as a level in a user hierarchy; the attribute hierarchy exists as a member property only. However, a disabled attribute hierarchy can still be used to order the members of another attribute. If the value of
the AttributeHierarchyEnabled property is set to True, the value of
the AttributeHierarchyVisible property determines whether the attribute hierarchy is visible independent of its use in a user-defined hierarchy.
References:https://technet.microsoft.com/en-us/library/ms166717(v=sql.110).aspx
NEW QUESTION 37
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:
Users need to be able to analyze sales by color.
You need to create a dimension that contains all of the colors for products sold by the company.
Which relationship type should you use between the InternetSales table and the new dimension?
- A. regular
- B. referenced
- C. data mining
- D. many-to-many
- E. fact
- F. no relationship
Answer: A
Explanation:
A regular dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined directly to the fact table.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical- cube-objects/dimension-relationships
NEW QUESTION 38
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
Answer: A
Explanation:
Explanation/Reference:
Explanation:
By default, tabular models use an in-memory cache to store and query data. When tabular models query data residing in-memory, even complex queries can be incredibly fast. However, there are some limitations to using cached data. Namely, large data sets can exceed available memory, and data freshness requirements can be difficult if not impossible to achieve on a regular processing schedule.
DirectQuery overcomes these limitations while also leveraging RDBMS features making query execution more efficient.
With DirectQuery: +
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas- tabular
NEW QUESTION 39
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 two separate tabular instances of SSAS.
- B. Install one tabular instance of SSAS and enable the Data Mining Extensions.
- C. Install a multidimensional instance and a Power Pivot instance of SSAS on the same server.
- D. Install one tabular instance of SSAS.
- E. Install one multidimensional instance of SSAS.
Answer: D,E
NEW QUESTION 40
How do you support the profit percentage in your solution design?
- A. Create a calculated measure to divide profit by revenue.
- B. Add a new measure group to the cube to isolate the measure.
- C. Define the MeasureExpression property on a new measure to divide profit by revenue.
- D. Add a fact table column and set the FormatString for the new measure to Percent.
Answer: A
NEW QUESTION 41
HOTSPOT
You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional project. You are developing a dimension that uses data from the following table:
The ManagerKey column defines a foreign key constraint that references the EmployeeKey column. The table stores employee history information by using slowly changing dimensions (SCD). Changes to EmployeeName, Phone, or ManagerKey are managed as SCD Type 1 changes. Changes to SalesRegion are managed as SCD Type 2 changes.
You create the following attributes, and set the KeyColumns and NameColumn properties to the columns listed in the table below:
You need to add a parent-child hierarchy to the dimension to enable navigating the organization hierarchy.
In the table below, identify the attribute that you must use for each attribute usage type.
NOTE: Make only one selection in each column.
Hot Area:
Answer:
Explanation:
Explanation/Reference:
The ManagerKey column, the Manager attribute, defines a foreign key constraint that references the EmployeeKey column, the Employee attribute.
NEW QUESTION 42
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.
Answer:
Explanation:
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.
NEW QUESTION 43
Drag and Drop Question
You are a business analyst for a retail company that uses a Microsoft SQL Server Analysis Services (SSAS) multidimensional database to track sales.
The database contains the following objects:
Your company is developing a promotional plaque to recognize the top resellers in the top 10 cities where the company does business. Each plaque must display the sales total for all resellers in the city. In addition, the plaque must display a total for all cities not in the top 10.
You have the following requirements:
You need to provide the information needed for the promotional plaques.
How should you complete the MDX statement? To answer, drag the appropriate MDX segments to the correct locations. Each MDX segment 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:DYNAMIC SET
Box 2:MEMBER
Box 3:DYNAMIC SET
Box 4:[Geography].[City].[City].members
Box 5:[Measures].[Reseller Sales Amount]
https://docs.microsoft.com/en-us/sql/mdx/aggregate-mdx
NEW QUESTION 44
DRAG DROP
A database named DB2 uses the InMemory query mode. Users frequently run the following query:
You need to reconfigure the SSAS instance that hosts DB1.
Which three actions should 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.
Answer:
Explanation:
Explanation:
Step 1: Set the default mode for the data model to DirectQuery.
You discover that the project has been deployed with the Direct Query Mode option set to OFF.
Step 2: Set the mode for the FactInternetSales table's partition to DirectQueryOnly.
Initially, even DirectQuery models are always created in memory. The default query mode for the workspace database is also set toDirectQuery with In-Memory. This hybrid working mode lets you use the cache of imported data for improved performance during the model design process, while validating the model against DirectQuery requirements.
From Scenario: Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.
Step 3: Run Process Full for the FactInternetSales partition.
When Process Full is executed against an object that has already been processed, Analysis Services drops all data in the object, and then processes the object. This kind of processing is required when a structural change has been made to an object, for example, when an attribute hierarchy is added, deleted, or renamed
NEW QUESTION 45
You are managing a SQL Server Analysis Services (SSAS) tabular database.
The database must meet the following requirements:
*
The processing must load data into partitions or tables.
*
The processing must not rebuild hierarchies or relationships.
*
The processing must not recalculate calculated columns.
You need to implement a processing strategy for the database to meet the requirements.
Which processing mode should you use?
- A. Process Default
- B. Process Data
- C. Process Add
- D. Process Clear
- E. Process Full
Answer: C
NEW QUESTION 46
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: Enable Buffer Cache Extensions.
Does the solution meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
In this scenario we would need both Buffer Cache Extensions and SSD.
The buffer pool extension provides the seamless integration of a nonvolatile random access memory (that is, solid-state drive) extension to the Database Engine buffer pool to significantly improve I/O throughput.
References:https://docs.microsoft.com/en-us/sql/database-engine/configure- windows/buffer-pool-extension
NEW QUESTION 47
You are developing a tabular Business Intelligence Semantic Model (BISM) database based on a SQL Server database.
In the data source, the FactInternetSales table is partitioned by month. Data from the current month has been updated and new data has been inserted in the FactInternetSales table, in the DimProduct table, and in the DimCustomer table.
In the model, the FactInternetSales table is also partitioned by month. You need to ensure that the model has the most recent data while minimizing the processing time.
What should you do?
- A. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Data processing option. Then process the database with the Process Defrag processing option.
- B. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Defrag processing option. Then process the database with the Process Recalc processing option.
- C. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Clear processing option. Then process the database with the Process Data processing option.
- D. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Clear processing option. Then process the database with the Process Full processing option.
- E. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Data processing option. Then process the database with the Process Recalc processing option.
Answer: A
NEW QUESTION 48
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 an existing multidimensional cube that provides sales analysis. The users can slice by date, product, location, customer, and employee.
The management team plans to evaluate sales employee performance relative to sales targets. You identify the following metrics for employees:
Ninety percent or greater relative to sales target values is considered on target.
Between 75 percent and 90 percent is considered slightly off target.
Below 75 percent is considered off target.
You need to implement the KPI based on the Status expression.
Solution: You design the following solution:
Does the solution meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION 49
Drag and Drop Question
You need to configure the CoffeeSale fact table environment.
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. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
Step 1: Partition the CoffeSale facto table.
Step 2: Set the storage mode for all partitions to HOLAP. Partitions stored as HOLAP are smaller than the equivalent MOLAP partitions because they do not contain source data and respond faster than ROLAP partitions for queries involving summary data.
Step 3: Alter the processing job to ensure that it rearranges the partition structure each evening.
Step 4: Test that the cube meets the functional requirement for data currency and query performance.
From scenario:
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.
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.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical- cube-objects/partitions-partition-storage-modes-and-processing
NEW QUESTION 50
Hotspot Question
You are a database administrator in a company that uses Microsoft SharePoint Server for all intranet sites. You are responsible for the installation of new database server instances.
You must install Microsoft SQL Server Analysis Server (SSAS) to support deployment of the following projects. You develop both projects by using SQL Server Data Tools.
You need to install the appropriate services to support both projects.
What should you do? In the table below, select the appropriate services for each project. NOTE:
Make only one selection in each column. Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Project1:
Project2: Multidimensional
Note: Analysis Services can be installed in one of three server modes: Multidimensional and Data Mining (default), Power Pivot for SharePoint, and Tabular.
NEW QUESTION 51
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 an existing multidimensional cube that provides sales analysis. The users can slice by date, product, location, customer, and employee.
The management team plans to evaluate sales employee performance relative to sales targets. You identify the following metrics for employees:
Ninety percent or greater relative to sales target values is considered on target.
Between 75 percent and 90 percent is considered slightly off target.
Below 75 percent is considered off target.
You need to implement the KPI based on the Status expression.
Solution: You design the following solution:
Does the solution meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION 52
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