Download Developing SQL Data Models.70-768.NewDumps.2020-09-24.38q.vcex

Vendor: Microsoft
Exam Code: 70-768
Exam Name: Developing SQL Data Models
Date: Sep 24, 2020
File Size: 3 MB
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Demo Questions

Question 1
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: Change the storage mode for the data model to DirectQuery.
Does the solution meet the goal?
  1. Yes
  2. No
Correct answer: A
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: +Data is up-to-date, and there is no extra management overhead of having to maintain a separate copy of the data (in the in-memory cache). Changes to the underlying source data can be immediately reflected in queries against the data model. Datasets can be larger than the memory capacity of an Analysis Services server. Etc. References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas-tabular
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: +
Data is up-to-date, and there is no extra management overhead of having to maintain a separate copy of the data (in the in-memory cache). Changes to the underlying source data can be immediately reflected in queries against the data model. 
Datasets can be larger than the memory capacity of an Analysis Services server. 
Etc. 
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas-tabular
Question 2
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?
  1. Yes
  2. No
Correct answer: B
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
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
Question 3
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?
  1. Yes
  2. No
Correct answer: B
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
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
Question 4
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?
  1. Yes
  2. No
Correct answer: A
Question 5
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?
  1. Yes
  2. No
Correct answer: B
Question 6
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?
  1. Yes
  2. No
Correct answer: B
Question 7
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. 
A company has an e-commerce website. When a customer places an order, information about the transaction is inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server Analysis Services (SSAS) instance that is configured to use Tabular mode. 
SSAS uses data from OLTP1 to populate a data model. 
Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available in the relational database. 
You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near real-time data source access. 
Solution: In the Deployment Option property for the report, you set the Query Mode to InMemory.
Does the solution meet the goal?
  1. Yes
  2. No
Correct answer: B
Explanation:
With InMemory the queries can use the cache only. References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
With InMemory the queries can use the cache only. 
References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
Question 8
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. 
A company has an e-commerce website. When a customer places an order, information about the transaction is inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server Analysis Services (SSAS) instance that is configured to use Tabular mode. 
SSAS uses data from OLTP1 to populate a data model. 
Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available in the relational database. 
You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near real-time data source access. 
Solution: In the Deployment Option property for the report, you set the Query Mode to DirectQuery with InMemory. 
Does the solution meet the goal?
  1. Yes
  2. No
Correct answer: A
Explanation:
With DirectQuerywithInMemory mode the queries use the relational data source by default, unless otherwise specified in the connection string from the client. References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
With DirectQuerywithInMemory mode the queries use the relational data source by default, unless otherwise specified in the connection string from the client. 
References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
Question 9
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. 
A company has an e-commerce website. When a customer places an order, information about the transaction is inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server Analysis Services (SSAS) instance that is configured to use Tabular mode. 
SSAS uses data from OLTP1 to populate a data model. 
Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available in the relational database. 
You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near real-time data source access. 
Solution: In the Deployment Option property for the report, you set the Query Mode to InMemory with DirectQuery. 
Does the solution meet the goal?
  1. Yes
  2. No
Correct answer: B
Explanation:
With InMemory with DirectQuery: Queries use the cache by default, unless otherwise specified in the connection string from the client. References: https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
With InMemory with DirectQuery: Queries use the cache by default, unless otherwise specified in the connection string from the client. 
References: https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
Question 10
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?
  1. Yes
  2. No
Correct answer: B
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