Making Data Useful and Accessible CLOUD-DIGITAL-LEADER Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A media company wants to analyze viewer engagement events (plays, pauses, skips) in real time to adjust content recommendations instantly. They need a service to ingest the event stream and a service to process it with low latency. Which pair of Google Cloud products should they use?

   • ACloud Functions for ingestion and Cloud Scheduler for processing.
   • BDataflow for ingestion and Pub/Sub for processing.
   • CPub/Sub for ingestion and Dataflow for stream processing.
   • DCloud Storage for ingestion and BigQuery for processing.
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A marketing team without SQL skills wants to explore customer purchase trends on their own, without waiting for the data engineering team to build custom reports. The data is already in BigQuery. What should the company implement?

   • ALooker with pre-built data models that let marketers drag-and-drop to create their own dashboards.
   • BA series of static CSV exports emailed to the team each week.
   • CDirect access to BigQuery for each marketer to write SQL queries.
   • DA custom application built by the engineering team that shows a fixed set of charts.
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A telecommunications company wants to analyze network performance data to identify areas with frequent dropped calls. The data is collected continuously from network equipment. They want to store the data for historical analysis and also generate real-time alerts for severe issues. What is the most appropriate architecture?

   • AUse Pub/Sub to ingest the data, Dataflow to process it for real-time alerts, and BigQuery to store it for historical analysis.
   • BUse Cloud Storage to store the data and Cloud Functions to generate alerts on a schedule.
   • CUse Cloud SQL to store the data and Cloud Scheduler to run queries for alerts.
   • DUse BigQuery to ingest the data directly and Looker to generate alerts.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   How does Looker help individuals create insights from data?

   • ABy providing a code-free interface for building queries and visualizations
   • BBy automatically generating insights without any user interaction
   • CBy limiting access to pre-defined reports only
   • DBy requiring users to write SQL for every analysis
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A sales organization wants to reduce the time managers spend waiting for weekly reports from the data team. They want managers to be able to answer their own questions about sales performance. What should the company adopt?

   • AA shared spreadsheet that managers can manually update with their own numbers.
   • BA data warehouse that managers can query directly using SQL.
   • CA self-service BI tool like Looker that lets managers create and share their own dashboards.
   • DA more frequent batch report generated by the data team every day.
   Reveal Solution Discussion Select an answer first