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Google Associate Data Practitioner

Google Cloud Certified - Associate Data Practitioner

Verified practice questions with detailed answers, clear explanations, and community discussion.

  • 103

    questions

  • 4 days ago

    last updated

  • 4.8/5

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Question 1 of 103

Your retail company wants to predict customer churn using historical purchase data stored in BigQuery. The dataset includes customer demographics, purchase history, and a label indicating whether the customer churned or not. You want to build a machine learning model to identify customers at risk of churning. You need to create and train a logistic regression model for predicting customer churn, using the customer_data table with the churned column as the target label. Which BigQuery ML query should you use?

Answer choices
Show answer

Correct answer: B

BigQuery ML logistic regression requires the target column to be identified as the label while the remaining selected columns provide training features. The query excludes churned from the feature set and aliases it as label, allowing the model to learn the relationship between demographics, purchase history, and churn outcome. Selecting all columns without a label does not explicitly define the prediction target, while selecting only the label provides no feature data for training.

Community votes

6 votes

BSuggested

100%

Question 2 of 103

Your company has several retail locations. Your company tracks the total number of sales made at each location each day. You want to use SQL to calculate the weekly moving average of sales by location to identify trends for each store. Which query should you use?

Answer choices
Show answer

Correct answer: C

A weekly moving average must be calculated independently for each store and ordered chronologically by date. PARTITION BY store_id keeps each location’s sales history separate, while ORDER BY date establishes the daily sequence. ROWS BETWEEN 6 PRECEDING AND CURRENT ROW averages the current day with the prior six daily rows, producing a seven-day rolling average. Ordering by sales or partitioning by date or total sales would not measure each store’s weekly trend over time.

Community votes

4 votes

CSuggested

100%

Question 3 of 103

Your company is building a near real-time streaming pipeline to process JSON telemetry data from small appliances. You need to process messages arriving at a Pub/Sub topic, capitalize letters in the serial number field, and write results to BigQuery. You want to use a managed service and write a minimal amount of code for underlying transformations. What should you do?

Answer choices
Show answer

Correct answer: C

The “Pub/Sub to BigQuery” Dataflow template provides a managed streaming pipeline that reads messages from Pub/Sub and writes transformed records to BigQuery. A user-defined function (UDF) applies the required capitalization to the serial number field without requiring a custom Dataflow pipeline implementation. This supports near real-time processing while minimizing operational work and transformation code. A scheduled BigQuery query introduces delay, while Cloud Run approaches require more custom application logic.

Community votes

10 votes

CSuggested

90%

A

10%

Question 4 of 103

You want to process and load a daily sales CSV file stored in Cloud Storage into BigQuery for downstream reporting. You need to quickly build a scalable data pipeline that transforms the data while providing insights into data quality issues. What should you do?

Answer choices
Show answer

Correct answer: A

Cloud Data Fusion provides a visual, managed batch pipeline for reading CSV data from Cloud Storage, transforming it, and writing the results to BigQuery. Its built-in transformations, schema handling, lineage, and data quality features help identify issues such as invalid fields or unexpected records during pipeline development and execution. This approach is scalable without requiring custom pipeline code. A direct BigQuery load and scheduled queries can transform data, but it provides less integrated data quality insight and pipeline tooling.

Community votes

12 votes

ASuggested

75%

D

25%

Question 5 of 103

You manage a Cloud Storage bucket that stores temporary files created during data processing. These temporary files are only needed for seven days, after which they are no longer needed. To reduce storage costs and keep your bucket organized, you want to automatically delete these files once they are older than seven days. What should you do?

Answer choices
Show answer

Correct answer: B

A Cloud Storage lifecycle rule automatically deletes objects when they reach a specified age, such as seven days. The rule is managed by Cloud Storage, so no custom code, scheduling, or compute resources are required. This reduces operational overhead and storage costs while ensuring temporary files are consistently removed. Cloud Run, Dataflow, and Cloud Scheduler solutions add unnecessary complexity for a standard object-retention requirement.

Community votes

4 votes

BSuggested

100%

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The content is accurate and clearly presented, and it's more affordable than competitors. The team has been incredibly responsive whenever I've had an issue, and they've been open to small changes that improve the platform.
Charles Sirois
Canada
As this was my first certification exam, I was understandably nervous about what to expect. These study materials made the preparation process much easier, and many of the questions closely reflected those on the actual exam.
Lance Chambers
United States
Wasted about a month going through the free dump sites scattered all over reddit, half the answers were wrong and the other half were for a version of the exam that doesn't even exist anymore. Eventually gave in and paid the small fee here, and the difference was night and day.
Alisha Kelly
Italy
Honestly, I had already gone through the official documentation quite thoroughly, but still didn't feel fully confident going in. This helped things finally click for me. I realized I knew the material, but just hadn't connected all the pieces yet.
Casper Claassen
Netherlands
Used this along with Microsoft Learn and the combo worked really well. The practice questions made the stuff I'd read actually stick. Passed first attempt, no complaints from me.
Gabriele Ghesla
Italy
The content is accurate and clearly presented, and it's more affordable than competitors. The team has been incredibly responsive whenever I've had an issue, and they've been open to small changes that improve the platform.
Morgan Farmer
United Kingdom
I don't usually leave reviews, but this one felt worth sharing. The questions were quite close to what actually appeared on the exam, more than I expected. I spent about a week going through the material before my test, and it helped me feel more prepared.
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Neil Savage
United States
A very quick response was received via email when a link issue occurred. The study materials provided were high quality and extremely helpful. I was able to complete the test successfully. Many thanks for the excellent support.
Morgan Farmer
United Kingdom
I don't usually leave reviews, but this one felt worth sharing. The questions were quite close to what actually appeared on the exam, more than I expected. I spent about a week going through the material before my test, and it helped me feel more prepared.
Remi Nuyts
United States
Passed ITIL 4 Foundation with 87%. Material was enough by itself.
Archie Hopkins
United States
I had a smooth experience from start to finish. Access was available right away, no technical issues, which made it easy to get started. The content felt relevant and aligned well with what I was looking for.
Nancy Mcbride
United States
Does what it says it does. Content felt solid, nothing confusing to navigate and I didn't run into any weird issues. I been putting off scheduling the exam for a while and going through this gave me enough confidence to finally book it and pass.
Neil Savage
United States
A very quick response was received via email when a link issue occurred. The study materials provided were high quality and extremely helpful. I was able to complete the test successfully. Many thanks for the excellent support.

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