GCP Associate Cloud Engineer Practice Question

A retailer archives 2 TB of JSON clickstream logs to Cloud Storage every night. Analysts run most ad-hoc queries against data from the last seven days, occasionally widening the window to a full year. You will load the data into BigQuery and must keep query costs low while giving analysts fast results without having to create or drop tables each day. What should you do?

  • Create an unpartitioned table and rely on automatic query caching.

  • Enable the BigQuery BI Engine and leave the table unpartitioned.

  • Create a time-partitioned table on the event_date column and cluster the table by user_id before loading the data.

  • Load each daily file into its own table (tablename_YYYYMMDD) and use wildcard tables in queries.

GCP Associate Cloud Engineer
Planning and implementing a cloud solution
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot
AI Bot