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Google Cloud Associate Data Practitioner (GCP-ADP) Practice Test

272 questions with instant explanations, domain breakdown, and wrong-answer analysis. Built for the real exam.

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Real exam: 120 min

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Q1Data Analysis And Presentationhard
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You are building a Looker dashboard and need to calculate the year-over-year growth rate. Which feature should you use to perform this without modifying the underlying SQL?

ABigQuery query parameters.
Looker Table Calculations.Correct
CLookML derived tables with persistent caching.
DDatabase-level User Defined Functions (UDFs).

Looker Table Calculations allow you to create calculations (such as year-over-year growth) directly in the Explore or dashboard using Looker's expression language, without modifying the underlying SQL or LookML. They operate on the query results already returned, so you can compu…Read full explanation

Q2Data Analysis And Presentationhard
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You are analyzing query performance in BigQuery. You notice that your queries are spilling to disk. What is the most likely cause?

AThe project is using On-Demand pricing.
BThe dataset is stored in a multi-region location.
CUsing too many slots in the reservation.
An inefficient JOIN or GROUP BY operation causing high memory pressure.Correct

Spilling to disk in BigQuery occurs when a query's intermediate results exceed the memory available to the execution stage. This typically happens due to inefficient JOINs or GROUP BY operations that produce large intermediate datasets, forcing BigQuery to write data to disk (shu…Read full explanation

Q3Data Analysis And Presentationeasy
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You are identifying trends in a large dataset using BigQuery. Which SQL function is best suited to identify the top 5 products sold per region?

AGROUP BY region, product.
BSELECT TOP 5 * FROM sales.
RANK() OVER (PARTITION BY region ORDER BY sales DESC).Correct
DSUM(sales) OVER (ORDER BY region).

RANK() OVER (PARTITION BY region ORDER BY sales DESC) assigns a rank to each product within each region based on sales, so filtering for rank <= 5 yields the top 5 products per region. This is the standard SQL window-function pattern for per-group top-N queries.

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