How many dimensions in your last cube?
47 to 50.
How many measure groups in your last cube?
Total 10 and in that 4 are Fact tables and remaining 6 are Fact less fact tables.
What is the Schema of your last cube?
Snowflake
Why not STAR Schema ?
My data base design doesn’t support STAR Schema.
What are the different relationships that you are used in your cube?
Regular
Referenced
Many to Many
Fact
No Relationship
Have you created the KPI’s , If then Explain?
Don’t add much to this as the questions in this will be tricky. Just tell that you worked on couple of KPI and you have basic knowledge on this. (Don’t worry, this is not MANDATORY)
How you define Aggregations in your Project?
We defined the aggregations for MOST FREQUENTLY USED data in SSRS reports.
Size of SSAS team in your last Project?
Just 2 guys as we guys are really in demand and lot of scarcity:)
How many Resources worked on same Cube in your Project?
Only 2 and one in morning shift and another in Evening shift.
What are Aggregations and its use?
Aggregations provide performance improvements by allowing Microsoft SQL Server Analysis Services (SSAS) to retrieve pre-calculated totals directly from cube storage instead of having to recalculate data from an underlying data source for each query. To design these aggregations, you can use the Aggregation Design Wizard. This wizard guides you through the following steps:
Selecting standard or custom settings for the storage and caching options of a partition, measure group, or cube.
Providing estimated or actual counts for objects referenced by the partition, measure group, or cube.
Specifying aggregation options and limits to optimize the storage and query performance delivered by designed aggregations.
Saving and optionally processing the partition, measure group, or cube to generate the defined aggregations.
After you use the Aggregation Design Wizard, you can use the Usage-Based Optimization Wizard to design aggregations based on the usage patterns of the business users and client applications that query the cube.
What is perspective, have you ever created perspective?
Perspectives are a way to reduce the complexity of cubes by hidden elements like measure groups, measures, dimensions, hierarchies etc. It’s nothing but slicing of a cube, for ex we are having retail and hospital data and end user is subscribed to see only hospital data, then we can create perspective according to it.
What is deploy, process and build?
Bulid: Verifies the project files and create several local files.
Deploy: Deploy the structure of the cube(Skeleton) to the server.
Process: Read the data from the source and build the dimesions and cube structures
Elaborating the same is given below.
Build: Its is a used to process the data of the cube database. Build is a version of a program. As a rule, a build is a pre-release version and as such is identified by a build number, rather than by a release number. Reiterative (repeated) builds are an important part of the development process. Throughout development, application components are collected and repeatedly compiled for testing purposes, to ensure a reliable final product. Build tools, such as make or Ant, enable developers to automate some programming tasks. As a verb, to build can mean either to write code or to put individual coded components of a program together.
Deployment: During development of an Analysis Services project in Business Intelligence Development Studio, you frequently deploy the project to a development server in order to create the Analysis Services database defined by the project. This is required to test the project.
for example, to browse cells in the cube, browse dimension members, or verify key performance indicators (KPIs) formulas.
What is the maximum size of a dimension?
The maximum size of the dimension is 4 gb.
What are the types of processing and explain each?
They are 6 types of processing in ssas ,they are
Process Full
Process Data
Process Index
Process Incremental
Process Structure
UnProcess
Process Full: Processes an Analysis Services object and all the objects that it contains. 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. This processing option is supported for cubes, databases, dimensions, measure groups, mining models, mining structures, and partitions.
Process Data: Processes data only without building aggregations or indexes. If there is data is in the partitions, it will be dropped before re-populating the partition with source data. This processing option is supported for dimensions, cubes, measure groups, and partitions.
Process Index: Creates or rebuilds indexes and aggregations for all processed partitions. This option causes an error on unprocessed objects. This processing option is supported for cubes, dimensions, measure groups, and partitions.
Process Increment: Adds newly available fact data and process only to the relevant partitions. This processing option is supported for measure groups, and partitions.
Process Structure: If the cube is unprocessed, Analysis Services will process, if it is necessary, all the cube’s dimensions. After that, Analysis Services will create only cube definitions. If this option is applied to a mining structure, it populates the mining structure with source data. The difference between this option and the Process Full option is that this option does not iterate the processing down to the mining models themselves. This processing option is supported for cubes and mining structures.
Unprocess : Drops the data in the object specified and any lower-level constituent objects. After the data is dropped, it is not reloaded. This processing option is supported for cubes, databases, dimensions, measure groups, mining models, mining structures, and partitions.
Process Default: Detects the process state of an object, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. This processing option is supported for cubes, databases, dimensions, measure groups, mining models, mining structures, and partitions.
What is a cube?
The basic unit of storage and analysis in Analysis Services is the cube. A cube is a collection of data that’s been aggregated to allow queries to return data quickly.
For example, a cube of order data might be aggregated by time period and by title, making the cube fast when you ask questions concerning orders by week or orders by title.
What is AMO?
The full form of AMO is Analysis Managament Objects. This is used to create or alter cubes from .NET code.
47 to 50.
How many measure groups in your last cube?
Total 10 and in that 4 are Fact tables and remaining 6 are Fact less fact tables.
What is the Schema of your last cube?
Snowflake
Why not STAR Schema ?
My data base design doesn’t support STAR Schema.
What are the different relationships that you are used in your cube?
Regular
Referenced
Many to Many
Fact
No Relationship
Have you created the KPI’s , If then Explain?
Don’t add much to this as the questions in this will be tricky. Just tell that you worked on couple of KPI and you have basic knowledge on this. (Don’t worry, this is not MANDATORY)
How you define Aggregations in your Project?
We defined the aggregations for MOST FREQUENTLY USED data in SSRS reports.
 |
| NetApp Most Frequently Asked Latest SSAS Interview Questions Answers |
Size of SSAS team in your last Project?
Just 2 guys as we guys are really in demand and lot of scarcity:)
How many Resources worked on same Cube in your Project?
Only 2 and one in morning shift and another in Evening shift.
What are Aggregations and its use?
Aggregations provide performance improvements by allowing Microsoft SQL Server Analysis Services (SSAS) to retrieve pre-calculated totals directly from cube storage instead of having to recalculate data from an underlying data source for each query. To design these aggregations, you can use the Aggregation Design Wizard. This wizard guides you through the following steps:
Selecting standard or custom settings for the storage and caching options of a partition, measure group, or cube.
Providing estimated or actual counts for objects referenced by the partition, measure group, or cube.
Specifying aggregation options and limits to optimize the storage and query performance delivered by designed aggregations.
Saving and optionally processing the partition, measure group, or cube to generate the defined aggregations.
After you use the Aggregation Design Wizard, you can use the Usage-Based Optimization Wizard to design aggregations based on the usage patterns of the business users and client applications that query the cube.
What is perspective, have you ever created perspective?
Perspectives are a way to reduce the complexity of cubes by hidden elements like measure groups, measures, dimensions, hierarchies etc. It’s nothing but slicing of a cube, for ex we are having retail and hospital data and end user is subscribed to see only hospital data, then we can create perspective according to it.
What is deploy, process and build?
Bulid: Verifies the project files and create several local files.
Deploy: Deploy the structure of the cube(Skeleton) to the server.
Process: Read the data from the source and build the dimesions and cube structures
Elaborating the same is given below.
Build: Its is a used to process the data of the cube database. Build is a version of a program. As a rule, a build is a pre-release version and as such is identified by a build number, rather than by a release number. Reiterative (repeated) builds are an important part of the development process. Throughout development, application components are collected and repeatedly compiled for testing purposes, to ensure a reliable final product. Build tools, such as make or Ant, enable developers to automate some programming tasks. As a verb, to build can mean either to write code or to put individual coded components of a program together.
Deployment: During development of an Analysis Services project in Business Intelligence Development Studio, you frequently deploy the project to a development server in order to create the Analysis Services database defined by the project. This is required to test the project.
for example, to browse cells in the cube, browse dimension members, or verify key performance indicators (KPIs) formulas.
What is the maximum size of a dimension?
The maximum size of the dimension is 4 gb.
What are the types of processing and explain each?
They are 6 types of processing in ssas ,they are
Process Full
Process Data
Process Index
Process Incremental
Process Structure
UnProcess
Process Full: Processes an Analysis Services object and all the objects that it contains. 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. This processing option is supported for cubes, databases, dimensions, measure groups, mining models, mining structures, and partitions.
Process Data: Processes data only without building aggregations or indexes. If there is data is in the partitions, it will be dropped before re-populating the partition with source data. This processing option is supported for dimensions, cubes, measure groups, and partitions.
Process Index: Creates or rebuilds indexes and aggregations for all processed partitions. This option causes an error on unprocessed objects. This processing option is supported for cubes, dimensions, measure groups, and partitions.
Process Increment: Adds newly available fact data and process only to the relevant partitions. This processing option is supported for measure groups, and partitions.
Process Structure: If the cube is unprocessed, Analysis Services will process, if it is necessary, all the cube’s dimensions. After that, Analysis Services will create only cube definitions. If this option is applied to a mining structure, it populates the mining structure with source data. The difference between this option and the Process Full option is that this option does not iterate the processing down to the mining models themselves. This processing option is supported for cubes and mining structures.
Unprocess : Drops the data in the object specified and any lower-level constituent objects. After the data is dropped, it is not reloaded. This processing option is supported for cubes, databases, dimensions, measure groups, mining models, mining structures, and partitions.
Process Default: Detects the process state of an object, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. This processing option is supported for cubes, databases, dimensions, measure groups, mining models, mining structures, and partitions.
What is a cube?
The basic unit of storage and analysis in Analysis Services is the cube. A cube is a collection of data that’s been aggregated to allow queries to return data quickly.
For example, a cube of order data might be aggregated by time period and by title, making the cube fast when you ask questions concerning orders by week or orders by title.
What is AMO?
The full form of AMO is Analysis Managament Objects. This is used to create or alter cubes from .NET code.
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