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Friday, June 21, 2019

25 Top OLAP Interview Questions and Answers {Updated}

OLAP Interview Questions and Answers for experienced PDF, Read commonly asked OLAP Job Interview Questions with Answers PDF for Freshers.

Read OLAP Interview Questions and Answers

Explain about OLAP?
OLAP is known as online analytical processing which provides answers to queries which are multidimensional in nature. It composes relational reporting and data mining for providing solutions to business intelligence. This term OLAP is created from the term OLTP.

Explain the functionality of OLAP?
Hypercube or multidimensional cube forms the core of the OLAP system. This consists of measures which are arranged according to dimensions. Hypercube Metadata is created by star or snowflake schema of tables in RDBMS. Dimensions are extracted from the dimension table and measures from the fact table.

Explain about MOLAP?
The classic form of OLAP is known as MOLAP and it is often called as OLAP. Simple database structures such as time period, product, location, etc are used. The functioning of each and every dimension or data structure is defined by one or more hierarchies.

What is ROLAP?
The functioning of ROLAP occurs simultaneously with relational databases. Data and tables are stored as relational tables. To hold new information or data new tables are created. The functioning of ROLAP depends upon specialized schema design.

What is OLAP?
OLAP is an acronym for Online Analytical Processing. OLAP performs a multi-dimensional analysis of business data and provides the capability for complex calculations, trend analysis, and sophisticated data modeling.

Explain about aggregations?
OLAP can process complex queries and give the output in less than 0.1 seconds, for it to achieve such a performance OLAP uses aggregations. Aggregations are built by aggregating and changing the data along the dimensions. The possible combination of aggregations can be determined by the combination possibilities of dimension granularities.

Explain the view selection problem?
Often calculating all the data is not possible by aggregations, for this reason, some of the complex data problems are solved. In order to determine which data should be solved and calculated, developers use the View selection application. This solution is often used to reduce the calculation problem.

Explain the role of bitmap indexes to solve aggregation problems?
Bitmaps are very useful in start schema to join large databases to small databases. Answer queries and bit arrays are used to perform logical operations on the databases. Bit map indexes are very efficient in handling Gender differentiation; also repetitive tasks are performed with much larger efficiency.

Explain about Encoding technique used in bitmaps indexes?
Bitmaps commonly use one bitmap for every single distinct value. The number of bitmaps used can be reduced by opting for a different type of encoding. Space can be optimized but when a query is generated bitmaps have to be accessed.

Explain about Binning?
Binning process is very useful to save space. Performance may vary depending upon the query generated sometimes the solution to a query can come within a few seconds and sometimes it may take longer time. Binning process holds multiple values in the same bin.

Explain about candidate check?
The process which is underlined during the check of base data is known as candidate check. When performing candidate check performance varies either towards the positive side or to the negative side. Performance of candidate check depends upon the user query and also they examine the base data.

What is Hybrid OLAP?
When a database developer uses Hybrid OLAP it divides the data between relational and specialized storage. In some particular modifications, a HOLAP database may store huge amounts of data in its relational tables. Specialized data storage is used to store data which is less detailed and more aggregate.

Explain about API s of OLAP?
Microsoft in late 1997 introduced a standard API known as OLE DB. After which XML was used for analysis specification and this specification was largely used by many vendors throughout the world as a standard specification. MDX is the standards specification for OLAP.

Explain about shared features of OLAP?
Shared implements most of the security features into OLAP. If multiple accesses are required admin can make necessary changes. The default security level for all OLAP products is read-only. For multiple updates, it is predominant to make necessary security changes.

Explain about analysis?
The analysis defines the logical and statistical analysis required for efficient output. This involves the writing of code and performing calculations, but most part of these languages does not require complex programming language knowledge. There are many specific features which are included such as time analysis, currency translation, etc.

Explain about multidimensional features present in OLAP?
Multidimensional support is very essential if we are to include multiple hierarchies in our data analysis. The multidimensional feature allows a user to analyze business and organization. OLAP efficiently handles support for multidimensional features.

Explain about the database marketing application of OLAP?
Database marketing tool or application helps a user or marketing professional in determining the right tool or strategy for his value add campaign. This tool collects data from all sources and gives relevant information to the specialist with their ad campaign. It gives a complete picture to the developer.

What are the different industries which use this marketing tool?
Many different companies can use this tool for developing their business strategy but it is often three major industries which use this tool more. Those three industries are Consumer goods industries, Retail industries, and the financial services industry. These industries have a huge amount of data in their disposal which makes then to use these tools to determine their exact customer.

What are Database roles in OLAP?
Database level roles are used to manage the security of the database. The role can be either fixed or flexible. Fixed roles are predefined while flexible roles can be created. Examples of some fixed database-level roles are db_owner, db_securityadmin, db_datawriter, etc.

What are the Fact Tables?
Data in a warehouse comes from the transactions. Fact table in a data warehouse consists of facts and/or measures. The nature of data in a fact table is usually numerical. e.g. If I want to know the number of resources used for a task, my fact table will store the actual measure (of resources) while my Dimension table will store the task and resource details.

Where are Data Sources in OLAP?
The data source is where the data comes from in data warehousing. The data collected from various sources and is cleaned. The data source can be internal or external. Efficient Analysis and cleansing of source data is the key success of data warehousing.

What are Cubes in OLAP?
A data cube stores data in a summarized version which helps in a faster analysis of data. The data is stored in such a way that it allows reporting easily. E.g. using a data cube a user may want to analyze the weekly, monthly performance of an employee. Here, month and week could be considered as the dimensions of the cube.

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