Gather Required Data PMI-CPMAI Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   During data collection, which check is used to ensure that data values fall within an expected range?

   • AFormat check
   • BReferential integrity check
   • CRange validation
   • DDuplicate detection
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   What is the primary purpose of establishing data refresh procedures?

   • ATo ensure data remains current and relevant
   • BTo reduce storage costs
   • CTo increase data volume
   • DTo eliminate the need for data validation
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4. 3application · medium

   A bank is building a fraud detection model using transaction data from multiple sources. During data extraction, the team discovers that some transactions have negative amounts, which are invalid, and some are missing the merchant category code. The team needs to ensure the data is accurate and complete before training. What should they do?

   • AAdd validation rules in the extraction pipeline to reject negative amounts and fill missing merchant category codes with a default value like 'Unknown'.
   • BManually correct each transaction with negative amounts or missing codes in the source systems.
   • CRemove all transactions with negative amounts or missing merchant category codes from the dataset.
   • DIgnore the issues because the model can handle them during training.
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5. 4application · medium

   A social media company wants to collect user engagement data (likes, shares, comments) in real-time to train a model that predicts trending topics. The data is generated continuously and must be processed with low latency. The team also needs to store the raw data for future analysis. What should they implement?

   • ADeploy a custom Kafka cluster on Azure VMs to handle the data stream and process it with a custom application.
   • BUse a scheduled Azure Data Factory pipeline that runs every 15 minutes to pull data from the platform's API and store it in Azure SQL Database.
   • CUse Azure Event Hubs for real-time ingestion and Azure Stream Analytics for low-latency processing, with a sink to Azure Blob Storage for raw data.
   • DUse Azure IoT Hub to ingest the data and Azure Functions to process each event and store it in Azure Cosmos DB.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   When coordinating a data migration to an AI development environment, which practice is essential to ensure data integrity during the transfer?

   • AUse a public internet connection for speed
   • BRely on the source system to guarantee integrity
   • CPerform checksums or hash validation after transfer
   • DSkip validation to save time
   Reveal Solution Discussion Select an answer first