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SSAS Interview Questions and Answers

By Admin
Last update: 10 Nov 2020, 10 Questions

Looking for an SSAS Interview Questions for a fresher or experienced? Well, you are on the right page then. Today SSAS has a good market share and one can set his career in this field very easily with productive results. There are too many opportunities from reputed and organized companies for SQL Server Analysis Services.

Today Agile Testing is a must in every company and if you feel that SSAS Questions would get asked to you then you should refer to this blog. Below are the most commonly asked SSAS Interview Questions and Answers which were asked to fresher as well as experienced. Let us know if you find these questions helpful in achieving your goal.

Most Frequently Asked SSAS Interview Questions

Here in this article, we will be listing frequently asked SSAS Interview Questions and Answers with the belief that they will be helpful for you to gain higher marks. Also, to let you know that this article has been written under the guidance of industry professionals and covered all the current competencies.

1. What is OLAP? How is it different from OLTP?

OLAP stands for Online Analytical Processing. In every Business application, this technology is used. It helps in performing multidimensional analysis of business data and provides solutions for complex calculations and data modeling.

OLAP OLTP
OLAP consists of a software tool that is used in Data Analysis OLTP consists of tools that support Transaction Oriented Applications.
It is characterized by a large volume of data. It is characterized by a huge number of short transactions.
In this data, the warehouse is created uniquely OLTP uses a traditional database
Benefits would be the consistency of calculations. Handles all daily transactions of an organization.
Responds in seconds to minutes Response in milliseconds
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2. What is Data Source? Would you like to tell some different data sources which have been supported by SSAS?

SQL Server Analysis Services data source exists as a connection from which we can import or load required data from the database or data warehouse. It contains information like provider, server name, and database name.

Different data sources supported by it are-
  • Oracle
  • MS Access
  • Teradata
  • IBM DB2 and other relational databases
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3. What is the purpose of setting Logical Keys and Relationships in DSV?

The purpose of setting the logical keys is achieved in the scenario where you have to work on the data from a variety of data sources, that time you have to define the logical relationships manually in DSV to supply those relationships that have been defined automatically.

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4. What is UDM? It’s significance in SSAS?

Unified Dimensional Model acts as a bridge between user and data sources. It is built over physical data sources so that the end-user submits queries against the UDM with the help of tools like Microsoft Excel.

Significances are like
  • Improve the user model.
  • Gives high-performance queries that support interactive analysis.
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5. How would you deal with performance problems in SSAS?

We can tune performance in SSAS by the following methods-

  • Use Partitions
  • Query engine cache should be efficiently used.
  • Write efficient multidimensional expressions.
  • To reduce the number of records defines effective aggregations.
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6. What is FASMI?

OLAP Database is also known as Fast Analysis of Shared Multidimensional Information i.e. FASMI. It is because it fulfills the FASMI rules that are described below and hidden in its name only-

  • Fast Analysis
  • Data should be shared by many users
  • Data inside the database must be Multidimensional
  • Information (support a large volume of data)
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7. What is XMLA?

XMLA refers to XML for Analysis and is used for accessing data in analytical systems like OLAP. This standard uses Execute and Discover methods, one allows applications to execute and later allows to fetch the information.

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8. What are the KPIs in SSAS?

In SSAS KPIs are Key Performance Indicators and are used to estimate if the goals are achieved. A value, goal, and trend can be measured by it.

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9. Which is a better star schema or snowflake?

Star Schemas are better as they use fewer foreign keys, more in a denormalized form which makes them better for performance.

However, both schemas depend upon the size of the data. If the data is small then star schema comes into the process on the other hand if data is large with many relationships between them then you should go for Snowflake Schemas.

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10. Name a few Business Analysis Enhancements for SSAS?

There are certain enhancements for SSAS which should be applied in some area like-

  • Time Intelligence applies to Cube.
  • Account Intelligence applies to Dimension or Cube.
  • Custom Aggregation to Dimension or Cube.
  • Custom Member Formula again to Dimension or Cube.
  • Dimension Intelligence applies to Dimension or Cube.
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In this article, we have gone through various SSAS Interview Questions and Answers which will try to brush up your concepts on SQL Server and other topics. You can also join an online training course for more information on the Database Server. Please feel free to write any query in the comment section.