Thursday , November 21 2024
Breaking News

Business Intelligence Foundation Professional Certification Exam Answers – Certiprof

Business Intelligence Foundation Professional Certification Exam Answers – Certiprof

  • Foreign Key.
  • Composite Primary Key.
  • Primary Key.
  • True.
  • False.
  • It is the location where the data being used comes from.
  • A BI software.
  • A Data Mining Platform.
  • Perform analysis for each source.
  • Data integration.
  • Request to unify data sources.
  • Export data.
  • Data relationship model.
  • Qlik Sense.
  • Power BI.
  • Primary key.
  • ETL.
  • Descriptive analysis.
  • Prescriptive Analysis.
  • Predictive analytics.
  • True.
  • False.
  • True.
  • False.
  • Historical Analysis.
  • Descriptive Analysis.
  • Referential analysis.
  • Descriptive Analytics.
  • Historical Analytics.
  • Predictive Analytics.
  • Prescriptive Analytics.
  • Advanced programmer.
  • BI Developer.
  • Data science.
  • BI Analysis.
  • Observe.
  • Understand.
  • Predict.
  • Decide.
  • Transformation Processes.
  • Extraction Processes.
  • Data Loading Processes.
  • Predict.
  • Collaborate.
  • Observe.
  • Understand.
  • Business Improve.
  • Business Impact.
  • Business Intelligence.
  • Business Insider.
  • Time increase.
  • Reduction of information security.
  • Identification of new business opportunities.
  • Expand the company’s value chain.
  • Databases.
  • Flat files.
  • Registration data.
  • All of the above.
  • True.
  • False.
  • Prescriptive Analytics.
  • Predictive Analytics.
  • Descriptive Analytics.
  • Historical Analytics.
  • Identify key stakeholders.
  • Failure to define the scope.
  • Have a roadmap.
  • A and B are correct.
  • A and C are correct.
  • None is correct.
  • All are correct.
  • As an Internet browser.
  • As Software to create reports and analyze data.
  • To Generate Graphics.
  • As a Spreadsheet.
  • Transformation model.
  • Data relationship model.
  • ETL Model.
  • Granularity model.
  • True.
  • False.
  • It is a single field within a table and is used to establish relationships between tables.
  • It’s to make my Tablet look pretty.
  • It is any field in the table.
  • It is a field used to protect my database.
  • External, Transform, Load.
  • Extract, Transform, Load.
  • Extract, Transaction, Loading.
  • Extract, Transform, Loop.
  • Database
  • Entity.
  • Foreign key
  • Primary key.
  • External.
  • Internal.
  • Foreign.
  • Primary.
  • Identify the tools to be used.
  • Identify key stakeholders.
  • To have external expert advisors.
  • Data extraction.
  • Data transformation.
  • Data deletion.
  • Data upload.
  • Observing, Compiling, Predicting, Collaborating, Deciding.
  • Observing, Understanding, Programming, Collaborating, Deciding.
  • Observing, Understanding, Predicting, Collaborating, Dialoguing.
  • Observing, Understanding, Predicting, Collaborating, Deciding.
  • Datawarehouse.
  • Accumulation.
  • ETL.
  • Rolling.
  • 1-to-1, 1-to-Many, many-to-one, many-to-many, many-to-many relationships.
  • Many-to-many relationships.
  • No relationships between tables are established.
  • 1 to 1 ratio.
  • Data Science.
  • Business intelligence.
  • Data Analytics.
  • Data Information.
  • Recurring.
  • Predictive.
  • Prescriptive.
  • Descriptive.
  • True.
  • False.
  • Analysis to establish relationships between tables.
  • It is a diagram where data are related by their shapes.
  • Both of the above.
  • None of the above.
  • Simple extraction.
  • Complete Extraction.
  • Incremental Extraction.
  • All are correct.
  • A and B are correct.
  • A and C are correct.
  • B and C are correct.
  • None of the above.
  • Inverted.
  • Star.
  • Objects.
  • Structured.
  • Predictive.
  • Descriptive.
  • Recurring.
  • Prescriptive.
  • Data Visualization.
  • Data quality management and monitoring.
  • Dynamic Report Generation.
  • All of the above.
  • True.
  • False.
  • Predictive Analytics.
  • Diagnostic Analysis.
  • Descriptive Analytics.
  • Prescriptive Analytics.
  • ETL.
  • Predictive analytics.
  • Prescriptive Analysis.
  • Descriptive analysis.
  • Prescriptive Analysis.
  • Predictive analytics.
  • Descriptive analysis.
  • ETL.
  • True.
  • False.
  • Data integration.
  • Promote business sales.
  • Facilitate and improve decision making.
  • Facilitate data collection.
  • Saas.
  • Extract, Re-engineer, Programming.
  • Extract, Transform, Load.
  • Extract, Program, Load.
  • Organization, Budget and Administration.
  • Decisions, Analysis and Proposals.
  • Decisions, Big Data Consumption and Proposals.
  • Time savings, data clarity and customizable reporting.
  • Business intelligence.
  • Business intelligence.
  • Production intelligence.
  • Management intelligence.
  • Integration of different data sources and with other platforms.
  • Variety of languages.
  • Free.
  • Multiplatform.
  • ETL.
  • Datawarehouse.
  • Data mining.
  • Analysis.
  • Compatibility problems.
  • Unstructured data correctly.
  • Data security.
  • All of the above.
  • Foreign key.
  • Primary key.
  • Secondary key.
  • None of the above.
  • Data Sources.
  • ETL.
  • Data Repository.
  • Access Interface.
  • All of the above.
  • Prescriptive.
  • Recurring.
  • Predictive.
  • Descriptive.
  • Descriptive Analytics.
  • Predictive Analytics.
  • Diagnostic Analysis.
  • Prescriptive Analytics.
  • True.
  • False.
  • SAAS.
  • ETL.
  • Transformation.
  • Load.
  • Data Transformation.
  • Data Extraction.
  • Data Modeling.
  • Data Loading.
  • ETL.
  • Primary key.
  • Data relationship model.
  • Power BI.
  • Data loading.
  • Data extraction.
  • Data transformation.
  • All of the above.
  • Data analysis.
  • Data science.
  • BI Analysis.
  • None of the above.
  • Data loading.
  • Data extraction.
  • Data transformation.
  • All of the above.
  • Primary key.
  • Secondary key.
  • Data relationship model.
  • Data extraction.
  • Organized collection of information.
  • Confirmation of data upload.
  • Existence of business data.
  • Level of detail at which business information is stored.
  • To save costs in the company.
  • To adapt to the market.
  • To achieve the necessary agility without sacrificing data security.
  • To forecast data.
  • Extract information and analyze it.
  • Storing data in a data warehouse.
  • Load the information in a new destination.
  • Convert data from one format to a more user-friendly format.
  • Objects.
  • Structured.
  • Star.
  • Inverted.
  • True.
  • False.
  • Incremental.
  • Complete.
  • Progressive.
  • Closed.
  • Concrete information about facts, elements, etc., that allows them to be studied, analyzed or known.
  • The registration of an event.
  • One variable.
  • A numeric value, generated by a transaction.
  • Knowledge Panning Indicator.
  • Key Planning Indicator.
  • Key Performance Indicator.
  • None of the above.
  • Common key.
  • Structured key.
  • Primary key.
  • Foreign key.
  • Collaborate.
  • Observe.
  • Decide.
  • Predict.
  • Specialized programming and high cost.
  • Larger data repository size.
  • Intuitive, easy to use, higher processing data loading.
  • It is the process for moving data from multiple sources.
  • A Data connection protocol.
  • A tool for importing and transforming data.
  • None of the above.
  • Extract data.
  • Transform data.
  • Create data.
  • Load data.
  • All of the above.
  • It is an organized collection of structured information or data, usually stored electronically in a computer system.
  • Repository where all the transactional information of a company is transferred.
  • Data Warehouse.
  • All of the above.
  • File System.
  • Entity – Relationship Diagram.
  • Database.
  • Extraction, Transformation and Cleaning.
  • Extraction, Transformation and Load.
  • Extraction, Transformation and Transportation.

Important Keys to Remember:

  • Observe: What is happening?
  • Understand: Why it happens?
  • Predict: What would happen?
  • Collaborate: What should the team do?
  • Decide: Which way to go?

About Clear My Certification

Check Also

Corporate Finance Professional Certification

Corporate Finance Professional Certification

Corporate finance involves managing the financial decisions of corporations to maximize shareholder value. It encompasses …

Leave a Reply

Your email address will not be published. Required fields are marked *