October 11, 2018

Sreekanth B

NetSuite Most Frequently Asked Latest SSAS Interview Questions Answers

What are the difficulties faced in cube development?

This question is either to test whether you are really experienced or when he doesnot have any questions to ask ..

You can tell any area where you feel difficult to work. But always the best answers will be the following.

Giving attribute relationships
Calculations
Giving dimension usage (many to many relationship)
Analyzing the requirements

Explain the flow of creating a cube?

Steps to create a cube in ssas

Create  a data source.
Create a datasource view.
Create Dimensions
Create a cube.
Deploy and Process the cube.

What is a datasource or DS?

The data source is the Physical Connection information that analysis service uses to connect to the database that host the data. The data source contains the connection string which specifies the server and the database hosting the data as well as any necessary authentication credentials.
NetSuite Most Frequently Asked Latest SSAS Interview Questions Answers
NetSuite Most Frequently Asked Latest SSAS Interview Questions Answers

What is datasourceview or DSV?


A data source view is a persistent set of tables from a data source that supply the data for a particular cube. BIDS also includes a wizard for creating data source views, which you can invoke by right-clicking on the Data Source Views folder in Solution Explorer.

Datasource view is the logical view of the data in the data source.
Data source view  is the only thing a cube can see.

 What is named calculation?

A named calculation is a SQL expression represented as a calculated column. This expression appears and behaves as a column in the table. A named calculation lets you extend the relational schema of existing tables or views in a data source view without modifying the tables or views in the underlying data source.

Named calculation is used to create a new column in the DSV using hard coded values or by using existing columns or even with both.

What is named query?

Named query in DSV is similar to View in Database. This is used to create Virtual table in DSV which will not impact the underlying database. Named query is mainly used to merge the two or more table in the datasource view or to filter columns of a table.

How you provide security to cube?

By defining roles we provide security to cubes. Using roles we can restrict users from accessing restricted data. Procedure as follows –
Define Role
Set Permission
Add appropriate Users to the role

How much time it take to Process the Cube?

This is Very very important question. This again depends on the SIZE of database,Complexity of the database and your server settings. For database with 50 cr transaction records, it generally takes 3.5 hrs.

How many Calculation you done in Your Project?

I answer more than 5000 and if you tell the same then you are caught unless you are super good in MDX. Best answer for you is “Worked on 50 calculations”.

How will you hide an attribute?

We can hide the attribute by selecting “AttributeHierarchyVisible = False” in properties of the attribute.

 How will you make an attribute not process?

By selecting  “ AttributeHierarchyEnabled = False”, we can make an  attribute not in process.

Why we need named queries?

A named query is used to join multiple tables, to remove unnecessary columns from a table of a database. You can achieve the same in database using Views but this Named Queries will be the best bet whe you don’t have access to create Views in database.

 How will you add a new column to an existing table in data source view?

By using named calculations we can add a new column to an existing table in the data source view. Named Calculation is explained above.

 What is dimension table?

A dimension table contains hierarchical data by which you’d like to summarize. A dimension table contains specific business information, a dimension table that contains the specific name of each member of the dimension. The name of the dimension member is called an “attribute”

The key attribute in the dimension must contain a unique value for each member of the dimension. This key attribute is called “primary key column”

The primary key column of each dimension table corresponding to the one of the key column  in any related fact table.

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