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Business Intelligence & Data Analytics Free Online Certification
Get Business Intelligence & Data Analytics Certificate from MachineLearning.org.in which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
Exam Details:
- Format: Multiple Choice Question
- Questions: 10
- Passing Score: 8/10 or 80%
- Language: English
Skills you will learn: Data Transformation, Automation, Visualization, Modeling, Coding, Predictive Analysis, Statistics, and more.
Career paths after completing the quiz: Data Analyst, Business Analyst, Data Scientist, BI Developer, Data Visualization Analyst, and more.
Here are the Questions and Answers:
Question 1: _ is the outcome of extraction and processing activities carried out on data.
- Knowledge
- Information
- Data
- Raw Data
Question 2: The objective of Business Intelligence is
- To support decision-making and complex problem solving.
- To support information gathering.
- To support data collection.
- To support data analysis.
Question 3: Which of the following is not a component of business intelligence analysis cycle?
- Analysis
- Insight
- Decision
- Design
Question 4: In BI Architecture, It is used to gather and integrate the data stored in various primary and secondary sources.
- Data Warehouse
- Data mart
- Data Sources
- None of the above
Question 5: Following are the phases of Development of a business intelligence system.
- Analysis and Design
- Planning
- Implementation and Control
- All of the above
Question 6: How the customer satisfaction can be achieved
- By gathering, storing, analysing and understanding huge of customer data
- Implementaion of dataware house
- Giving them discount
- Interaction
Question 7: Regression is the type of ______________ learning
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Semi-supervised
Question 8: __________is an essential process where intelligent methods are applied to extract data patterns
- Dataware housing
- Data mining
- Database
- Data structure
Question 9: The technique of finding hidden structure in unlabeled data is called
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Deep learnng
Question 10: The bank wants to segment their customer into distinct group to give loan offer, this is an example of:
- Supervised learning
- Data extraction
- Unsupervised learning
- Data preprocessing
