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WorksheetsQuiz_3
Total questions: 25
Worksheet time: 13mins
What is the primary goal of insights generated from data?
To create interesting reports
To lead to decisions and actions
To increase data storage
To reduce data collection costs
Which type of analytics recommends the best actions to take?
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
What is the primary focus of Lean Thinking?
Increasing data storage capacity
Reducing waste and improving efficiency
Hiring more data scientists
Eliminating all data sources
Which company pioneered Just-in-Time (JIT) production, which later influenced Lean Software Development?
Ford
Toyota
IBM
Microsoft
What is the purpose of Value Stream Mapping in Lean Thinking?
To visualize and improve processes by identifying waste
To automate all data-related tasks
To eliminate software updates
To replace human workers with AI
What does the Theory of Constraints (TOC) suggest?
Data storage is the biggest bottleneck
All work should be completed at the same speed
The fastest process determines efficiency
A system's performance is limited by its weakest point
Which Agile framework uses a product backlog, sprints, and daily stand-up meetings?
Scrum
Kanban
Lean Startup
Scrumban
What does Kanban use to track workflow stages?
Gantt charts
Sprint backlog
Kanban board
Burndown charts
Which Agile methodology is a hybrid of Scrum and Kanban?
XP
Scrumban
Lean Startup
SAFe
What is the purpose of feedback loops in Agile and DataOps?
To delay decision-making
To continuously improve products and services
To reduce customer engagement
To automate all manual tasks
Which process ensures a healthy team in DataOps?
Providing high-end laptops
Increasing salaries
Improving communication, collaboration, and morale
Avoiding meetings
Which aspect of DataOps ensures that data products are delivered quickly and accurately?
Product backlog
Service delivery
Product health
Systems Thinking
What is metadata?
Data about data
Raw data stored in databases
Encrypted user information
Cloud storage files
Which type of metadata describes the content of the data, such as title and keywords?
Structural Metadata
Administrative Metadata
Descriptive Metadata
Hidden Metadata
What is the main benefit of tagging in data operations?
Makes data easier to search and categorize
Hides data from unauthorized users
Converts raw data into insights
Reduces data storage costs
What is the goal of data cleansing?
Encrypting all stored data
Identifying and correcting errors in data
Increasing data storage
Reducing the number of datasets
Which concept suggests that teams should start work only when they have the capacity to handle it?
Push System
Pull System
Automated Processing
Backlog Management
Oracle enforces strict data governance, but employees bypass security rules to access data faster. What is the best fix?
Implement stricter access restrictions
Streamline access controls while maintaining security
Punish employees for policy violations
Remove data access restrictions entirely
Perplexity AI spends a year building a “perfect” product before launching, only to find that customers don’t need half the features. What mistake did they make?
They didn’t hire enough developers
They failed to validate their assumptions early
They should have added even more features
They focused too much on quality instead of speed
A Scrum team is in the middle of a sprint when a high-priority request from leadership comes in. What should they do?
Accept the request and adjust the sprint scope
Reject the request and address it in the next sprint
Pause the sprint and start working on the new request
Ask the Product Owner to reassign the team’s tasks
A Kanban team consistently faces delays because too many tasks are started at once. What’s the best solution?
Increase the number of tasks in progress
Set strict work-in-progress (WIP) limits
Reduce the number of team members
Extend deadlines to accommodate the overload
How does tagging differ from metadata when organizing large datasets?
Tagging is applied automatically, whereas metadata must be manually added
Tagging allows flexible categorization, while metadata follows a structured format
Metadata is only used for images, while tagging is for text
Tags store more technical details than metadata
Instagram’s marketing team uses customer data for targeted ads but notices a drop in engagement. A data quality assessment reveals inconsistencies in user profiles. What is the most likely cause?
The marketing team is not analyzing the data properly
Ads are not creative enough
The company needs to collect more data
Data completeness and accuracy are required
Apple analyzes last year’s sales data and concludes that profits will remain stable next year. What is the mistake?
The company used predictive analytics instead of descriptive analytics
Descriptive analytics only shows past trends, not future predictions
The company should have collected more data
Sales reports should not be used for decision-making
Amazon experiences a drop in traffic, and the marketing team blames it on Flipkart’s ad campaign without analysis. What’s the problem?
They should focus only on predictive analytics
Descriptive analytics already explains the drop
They skipped diagnostic analytics
More data collection is required before any analysis
