The Value of Data CLOUD-DIGITAL-LEADER Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A city government wants to improve public transportation. They have data from bus GPS, ticketing systems, and traffic cameras. They also want to incorporate social media feeds to understand commuter sentiment. What is the most effective way to create value from these diverse data sources?

   • AFocus only on the GPS data and ignore the other sources.
   • BPurchase a commercial transportation analytics package without customization.
   • CUse a cloud platform to integrate all data sources and apply analytics to identify patterns.
   • DAnalyze each data source separately and manually combine the results.
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Why is data governance essential for an organization's data journey?

   • AIt guarantees that all data is publicly accessible.
   • BIt ensures data quality, security, and compliance throughout the data lifecycle.
   • CIt eliminates the need for data storage and management.
   • DIt focuses only on data storage, not on data usage.
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   Which statement correctly differentiates a data lake from a database?

   • AA data lake is used for OLTP, while a database is used for analytics.
   • BA data lake requires a predefined schema, while a database does not.
   • CA data lake stores raw data in its native format, while a database stores structured data for transactions.
   • DA data lake is a type of database that stores only structured data.
   Reveal Solution Discussion Select an answer first
5. 14application · medium

   A retail company is building a customer analytics platform. They will collect data from loyalty programs, website interactions, and third-party demographic data. They are concerned about data privacy regulations and want to ensure data quality. What should they implement to address these concerns?

   • AA data lake to store all data without any restrictions.
   • BData governance framework that includes data quality rules, access controls, and compliance monitoring.
   • CEncryption of all data at rest and in transit.
   • DA data warehouse to store only structured data.
   Reveal Solution Discussion Select an answer first
6. 15expert · hard

   A media streaming service wants to analyze user viewing patterns to improve content recommendations. They have structured data (user profiles, viewing history) and unstructured data (reviews, social media comments). They need to process this data in real-time to update recommendations. They also have a strict budget and want to minimize infrastructure management. What is the best approach?

   • AStore all data in a data lake and run batch analytics daily.
   • BBuild a custom on-premises data processing pipeline to handle all data types.
   • CUse a cloud data warehouse for structured data and a cloud-based stream processing service for real-time analytics.
   • DUse a single NoSQL database to store both structured and unstructured data and run real-time analytics.
   Reveal Solution Discussion Select an answer first