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Data Warehouse Test

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Type

Role Specific Skills

Time

10 minutes

Level

Medium

Questions

10

About the Test

This assessment provides a framework of roles and responsibility for big data engineers and Data Warehouse administrators that can be quickly applied to the current environment.

Data warehouse is a central repository of information that can be analyzed to make more informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence.  It stores current and historical data for the entire business and feeds BI and analytics. Data warehouses use a database server to pull in data from an organization’s databases and have additional functionalities for data modelling, data lifecycle management, data source integration, and many more.

This test helps recruiters assess candidates proficient in Online Analytical Processing (OLAP) , a category of software that allows users to analyze information from multiple database systems at the same time. It is a technology that enables analysts to extract and view business data from different points of view.

Data Warehouse uses a multi-dimensional data model, a snowflake schema where dimension tables are broken down into sub dimensions which are commonly used for business intelligence and reporting in OLAP data warehouses.

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Skills Measured

  • Data Warehouse
  • OLAP Cube Drilldown
  • OLAP Operations
  • Software Architecture
  • Snowflake Schema

Roles

  • Big Data Engineer
  • Data Warehouse Administrator
  • Data Warehouse Developer
  • Data Analyst
  • Data Warehouse Architect
  • Business Intelligence Analyst
  • Data Scientist

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1

Data Warehouse

A data warehouse is a centralized repository of data that is used for reporting and analysis. It is designed to support the efficient querying and analysis of data, typically by large numbers of users. Data is typically extracted from operational systems, transformed to fit the data warehouse’s schema, and loaded into the data warehouse on a regular basis.

2

OLAP Cube Drilldown

OLAP (Online Analytical Processing) is a technology that enables users to perform complex analytical queries on data in a data warehouse. An OLAP cube is a multidimensional data structure that is used to represent and analyze data in an OLAP system. Drilldown is a technique in OLAP that allows users to navigate through the hierarchy of data in an OLAP cube by clicking on a specific data element and seeing the data at the next level of detail.

3

OLAP Operations

OLAP operations are operations that can be performed on data in an OLAP cube, such as rolling up, drilling down, slicing, and dicing. These operations allow users to analyze data from different perspectives and to answer complex business questions.

4

Software Architecture

Software architecture is the overall structure of a software system, including the design and organization of the system’s components and their relationships to each other. In the context of a data warehouse, the software architecture includes the design of the data warehouse itself, as well as the tools and processes used to extract, transform, and load data into the warehouse.

5

Snowflake Schema

Snowflake schema is a type of data warehouse schema that is organized into a central fact table surrounded by dimension tables. It is called a “snowflake” schema because the dimension tables are connected to the central fact table through foreign keys, forming a snowflake shape. Snowflake schema is used to represent complex data relationships and is useful for analyzing data in a data warehouse.

The test is created by a subject-matter expert

Testlify’s skill tests are designed by experienced SMEs (subject matter experts). We evaluate these experts based on specific metrics such as expertise, capability, and their market reputation. Prior to being published, each skill test is peer-reviewed by other experts and then calibrated based on insights derived from a significant number of test-takers who are well-versed in that skill area. Our inherent feedback systems and built-in algorithms enable our SMEs to refine our tests continually.

View sample score cards

Top five hard skills interview questions for Data Warehouse

1. What is your experience designing and implementing a data warehouse architecture?
Why this Matters?

This question assesses the candidate’s knowledge and experience in designing and implementing a data warehouse architecture.

What to listen for?

Listen for the candidate to describe their experience in creating a data warehouse architecture, including the choice of hardware, software, and database platforms, as well as how they designed data schemas, and data flow.

2. What data modeling techniques do you use when designing a data warehouse?
Why this Matters?

This question assesses the candidate’s experience with various data modeling techniques.

What to listen for?

Listen for the candidate to describe the various data modeling techniques they have used and the benefits and drawbacks of each. They should also discuss how they choose the right modeling technique based on the data they have and the business requirements.

3. How do you ensure data quality in a data warehouse?
Why this Matters?

This question assesses the candidate’s knowledge of data quality standards and their ability to ensure data quality in a data warehouse.

What to listen for?

Listen for the candidate to describe their experience with data quality control methods, such as data profiling, data cleaning, and data validation. They should also explain how they establish data quality metrics and monitor them regularly.

4. How do you optimize query performance in a data warehouse?
Why this Matters?

This question assesses the candidate’s knowledge of query optimization techniques in a data warehouse.

What to listen for?

Listen for the candidate to describe their experience in optimizing queries, including tuning database parameters, indexing, and query restructuring. They should also discuss how they monitor query performance and identify slow-performing queries.

5. How do you implement security and access controls in a data warehouse?
Why this Matters?

This question assesses the candidate’s knowledge of security and access control mechanisms in a data warehouse.

What to listen for?

Listen for the candidate to describe their experience with security measures such as role-based access controls, data encryption, and audit logs. They should also explain how they implement these measures in the data warehouse and ensure compliance with data privacy regulations.

Frequently Asked Questions for Data Warehouse

A Data Warehouse assessment evaluates a candidate’s ability to analyze the architecture, data model, data quality, performance, and usability of a data warehouse, as well as the tools and processes used to extract, transform, and load data into the warehouse.

The Data Warehouse assessment is a tool that can be used by recruiters and candidates to assess candidates’ technical skills and knowledge related to data warehousing. It can also help to identify opportunities for optimizing the data model, improving data quality, or implementing new tools or processes to make the data warehouse more efficient and effective.

  • Big Data Engineer
  • Data Warehouse Administrator
  • Data Warehouse Developer
  • Data Analyst
  • Data Warehouse Architect
  • Business Intelligence Analyst
  • Data Scientist

  • Data Warehouse
  • OLAP Cube Drilldown
  • OLAP Operations
  • Software Architecture
  • Snowflake Schema

A data warehouse assessment is a process of evaluating the current state and capabilities of an organization’s data warehouse. It is used to identify any potential improvements or updates that may be needed, as well as to understand the strengths and weaknesses of the current data warehouse.

Frequently Asked Questions (FAQs)

Want to know more about Testlify? Here are answers to the most commonly asked questions about our company.

These are ready-made tests, existing in our test library, created by subject matter experts. We have 200+ such skills tests covering various skills from programming skills to DevOps, including Aptitude and Personality testing.

You can go to the ‘Test Library’ tab and search for tests from the Job Role or Test Type drop-down menu.

Currently, we do not offer any sample tests. However, when you select a test, there would be a few practice questions before the start of the actual test, which would give you a fair idea of how the entire test would look.

Our tests typically take between 25-30 minutes to complete.

In case you need to test for a unique skill-set or specialized experience, you can add your own questions and customize the test to suit your requirements.

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