The Value of Data CLOUD-DIGITAL-LEADER Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   An e-commerce company wants to reduce customer churn. They have transactional data, customer service logs, and social media mentions. They plan to build a churn prediction model. What is the correct sequence of steps in the data value chain?

   • ATake action to retain customers before collecting any data.
   • BCollect data, clean and prepare it, analyze it to generate insights, then take action to retain customers.
   • CClean the data, then take action, and finally analyze the results.
   • DAnalyze the data first, then collect more data if needed, and finally clean the data.
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A telecom company wants to reduce network downtime by predicting equipment failures. They have sensor data from network devices, maintenance logs, and weather data. They want to create a predictive maintenance model. What is the first step they should take?

   • AEnsure data quality and consistency across all sources.
   • BPurchase new sensors to collect more data.
   • CImmediately build a machine learning model with the raw data.
   • DHire data scientists to manually analyze the data.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A healthcare organization is building a data platform to analyze patient outcomes. They will combine data from electronic health records (EHR), wearable devices, and public health datasets. They are concerned about data quality and compliance with patient privacy regulations. What is the most important first step in their data journey?

   • ADefine data governance policies for data quality, security, and access control.
   • BPurchase the most advanced analytics tools to ensure accurate insights.
   • CHire a third-party vendor to analyze the data without sharing internal details.
   • DImmediately load all data into a data lake to avoid losing any information.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is a key benefit of implementing data governance?

   • AIt allows all employees to access all data without restrictions.
   • BIt guarantees that data is always stored on-premises.
   • CIt reduces the need for data backups.
   • DIt ensures that data is accurate, consistent, and trustworthy for analysis.
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   Why is the cloud well-suited for analyzing both structured and unstructured data together?

   • ABecause it requires all data to be stored in a single database format.
   • BBecause it only supports structured data, which is easier to analyze.
   • CBecause it provides unlimited free storage for all data types.
   • DBecause it offers integrated services that can process and analyze diverse data types in one platform.
   Reveal Solution Discussion Select an answer first