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Data Management and Analytics Flashcards

7 cards from real CET practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which type of analytics focuses on understanding what has already happened by examining historical data?

    Answer: Descriptive analytics

    Descriptive analytics examines historical data to answer 'what happened,' forming the foundation for more advanced analytical types.

  2. What is the primary purpose of a Key Performance Indicator (KPI) in data analytics?

    Answer: To measure progress toward a specific business objective

    A KPI is a quantifiable metric that tracks how effectively an organization is achieving a key business objective, enabling performance management.

  3. What does OLAP (Online Analytical Processing) enable that traditional transactional (OLTP) systems do not?

    Answer: Multi-dimensional analysis of large datasets from multiple perspectives

    OLAP allows users to analyze data across multiple dimensions (e.g., time, region, product) simultaneously, enabling complex analytical queries that OLTP systems are not optimized for.

  4. Which analytical method uses historical data and statistical algorithms to forecast future outcomes?

    Answer: Predictive analytics

    Predictive analytics applies machine learning models and statistical algorithms to historical data to generate probabilistic forecasts about future events or behaviors.

  5. In data analytics, what is the role of data visualization?

    Answer: To represent data graphically so that patterns, trends, and outliers are quickly understandable

    Data visualization translates complex datasets into charts, graphs, and dashboards that allow stakeholders to rapidly identify insights, trends, and anomalies.

  6. What is the difference between supervised and unsupervised machine learning in the context of data analytics?

    Answer: Supervised learning uses labeled training data; unsupervised learning discovers patterns in unlabeled data

    Supervised learning trains models on labeled input-output pairs to predict outcomes, while unsupervised learning identifies hidden patterns or groupings in data without predefined labels.

  7. Which statistical measure best describes the central tendency of a dataset that contains significant outliers?

    Answer: Median

    The median is resistant to the distorting effect of outliers because it represents the middle value, whereas the mean is pulled toward extreme values.