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QUESTION 1
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 are developing Microsoft SQL Server Analysis Services (SSAS) tabular model.
The model must meet the following requirements:
You need to configure model. What should you do?
A. Ensure that DirectQuery is enabled for the model.
B. Ensure that DirectQuery is disabled for the model.
C. Ensure that the Transactional Deployment property is set to True.
D. Ensure that the Transactional Deployment property is set to False.
E. Process the model in Process Full mode.
F. Process the model in Process Data mode.
G. Process the model in Process Defrag mode.
Correct Answer: A
DAX originally emerged from a Power Pivot add-in for Excel, as a formula language extension for creating calculated
columns and measures for data analysis (which are also integral elements of one SSAS Tabular model database, too),
but
when Microsoft added support for DAX queries in SQL Server 2012, BI experts started “daxing” data from Tabular
model databases.
That trend continues, because of simplicity and fast query execution (related to DirectQuery mode in SSAS Tabular).
References:https://www.sqlshack.com/query-ssas-tabular-model-database-using-dax-functions/
QUESTION 2
You are developing a SQL Server Analysis Services (SSAS) tabular project that will be used by the finance, sales, and
marketing teams.
The sales team reports that the model is too complex and difficult to use. The sales team does not need any information
other than sales related resources in the tabular model. The finance and marketing teams need to see all the resources
in the tabular model.
You need to implement a solution that meets the needs of the sales team while minimizing development and
administrative effort. What should you do?
A. Create a separate partition for each team.
B. Create a separate data source for each team.
C. Create a perspective for the sales team.
D. Enable client-side security to filter non-sales data.
Correct Answer: C
QUESTION 3
You need to resolve the issues that the users report.
Which processing options should you use? To answer, drag the appropriate processing option to the correct location or
locations. Each processing option 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.
Select and Place:
Box1: Process Full:
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.
Box 2: Process Default
Detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially
processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the
affected object.
Box 3:
Not Process Update: Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes
on related partitions will be dropped.
QUESTION 4
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 administer a Microsoft SQL Server
Analysis Services (SSAS) tabular model for a retail company. The model is the basis for reports on inventory levels,
popular products, and regional store performance.
The company recently split up into multiple companies based on product lines. Each company starts with a copy of the
database and tabular model that contains data for a specific product line.
You need to optimize the performance of queries that use the copied tabular models while minimizing downtime.
What should you do?
A. Ensure that DirectQuery is enabled for the model.
B. Ensure that DirectQuery is disabled for the model.
C. Ensure that the Transactional Deployment property is set to True.
D. Ensure that the Transactional Deployment property is set to False.
E. Process the model in Process Full mode.
F. Process the model in Process Data mode.
G. Process the model in Process Defrag mode.
Correct Answer: C
The Transactional Deployment setting controls whether the deployment of metadata changes and process commands
occurs in a single transaction or in separate transactions. If this option is True (default), Analysis Services deploys all
metadata changes and all process commands within a single transaction.
If this option is False, Analysis Services deploys the metadata changes in a single transaction and deploys each
processing command in its own transaction.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment-script-filesspecifying-processing-options
QUESTION 5
You are deploying a multidimensional Microsoft SQL Server Analysis Services (SSAS) project. You add two new roleplaying dimensions named Picker and Salesperson to the cube. Both of the cube dimensions are based upon the underlying dimension named Employee in the data source view.
Users report that they are unable to differentiate the Salesperson attributes from the Picker attributes.
You need to ensure that the Salesperson and Picker attributes in each dimension use unique names.
In the table below, identify an option that you would use as part of the process to alter the names of the attributes for
each of the dimensions. NOTE: Make only one selection in each column.
Hot Area:
A named query is a SQL expression represented as a table. In a named query, you can specify an SQL expression to
select rows and columns returned from one or more tables in one or more data sources. A named query is like any
other table in a data source view (DSV) with rows and relationships, except that the named query is based on an expression.
A named query lets you extend the relational schema of existing tables in DSV without modifying the underlying data
source.
References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensionalmodels/define-named-queries-in-adata-source-view-analysis-services
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 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 your performance.
Solution: Change the storage mode for the data model to DirectQuery.
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: A
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 7
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. no relationship
B. regular
C. fact
D. referenced
E. many-to-many
F. data mining
Correct Answer: B
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. References: https://docs.microsoft.com/en-us/sql/analysisservices/multidimensional-models-olap-logical-cube-objects/dimension-relationships
QUESTION 8
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 Clear
B. Process Data
C. Process Add
D. Process Full
E. Process Default
Correct Answer: C
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.
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:
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: B
QUESTION 10
You are responsible for installing new database server instances.
You must install Microsoft SQL Server Analysis Services (SSAS) to support the 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.
Which two actions should you perform? Each correct answer presents part of the solution.
A. Install one tabular instance of SSAS and enable the Data Mining Extensions.
B. Install one multidimensional instance of SSAS.
C. Install one tabular instance of SSAS.
D. Install a multidimensional instance and a Power Pivot instance of SSAS on the same server.
E. Install two separate tabular instances of SSAS.
Correct Answer: BC
Analysis Services can be installed in one of three server modes: Multidimensional and Data Mining (default), Power
Pivot for SharePoint, and Tabular. References:https://docs.microsoft.com/en-us/sql/analysis-services/comparing-tabularand-multidimensional-solutions-ssas
QUESTION 11
You are a business analyst for a retail company that uses Microsoft SQL Server Analysis Services (SSAS)
multidimensional database for reporting. The database contains the following objects:
You need to complete the MDX statement to return data for the report. Which MDX segment should you use in line 01?
A.
B.
C.
D.
Correct Answer: B
The following example returns the sum of the Measures. [Order Quantity] member, aggregated over the first eight
months of the calendar year 2003 that are contained in the Date dimension, from the Adventure Works cube.
Copy
WITH MEMBER [Date].[Calendar].[First8Months2003] AS Aggregate(
PeriodsToDate(
[Date].[Calendar].[Calendar Year],
[Date].[Calendar].[Month].[August 2003]
)
)
SELECT
[Date].[Calendar].[First8Months2003] ON COLUMNS,
[Product].[Category].Children ON ROWS
FROM
[Adventure Works]
WHERE
[Measures].[Order Quantity]
References:https://docs.microsoft.com/en-us/sql/mdx/aggregate-mdx
QUESTION 12
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.
Select and Place:
Correct Answer:
Step 1: Partition of 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 sales analysis 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.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensionalmodels-olap-logical-cubeobjects/partitions-partition-storage-modes-and-processing
QUESTION 13
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 events should you monitor on the SQL Server Profiler trace events configuration page? To answer, select
the appropriate options in the answer area.
Hot Area:
Correct Answer:
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 the In-Memory mode.
References: Microsoft SQL Server 2012 Analysis Services, The BISM Tabular Model, Microsoft Press (July 2012), page
331 From Scenario: Users report that the query takes a long time to complete.
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