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Read each scenario carefully and choose your answer before revealing the explanation. Then check why your choice was right or wrong. Repeat until the reasoning feels automatic.

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GCP-ADP · topic practice

Data Analysis And Presentation practice questions

Practise Google Cloud Associate Data Practitioner (GCP-ADP) Data Analysis And Presentation practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security

20 questionsDomain: Data Analysis And Presentation

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What the exam tests

What to know about Data Analysis And Presentation

Data Analysis And Presentation questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Data Analysis And Presentation exam traps

▸Answering from memory before reading the full scenario.
▸Missing a constraint such as cost, availability, security, scope or command context.
▸Choosing a broad answer when the question asks for the most specific fix.
▸Ignoring why the wrong options are tempting.

Practice set

Data Analysis And Presentation questions

20 questions · select your answer, then reveal the explanation

Question 1hardmultiple choice

Read the full Data Analysis And Presentation explanation →

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?

Trap 1: BigQuery query parameters.

Query parameters are for filtering, not for performing complex row-wise math.

Trap 2: LookML derived tables with persistent caching.

While possible, it is overkill compared to a simple table calculation.

Trap 3: Database-level User Defined Functions (UDFs).

UDFs modify the underlying database logic, which is unnecessary here.

Study all Data Analysis And Presentation common traps →

A
BigQuery query parameters.
Why wrong: Query parameters are for filtering, not for performing complex row-wise math.
B
Looker Table Calculations.
Table calculations provide flexible, on-the-fly math capabilities.
C
LookML derived tables with persistent caching.
Why wrong: While possible, it is overkill compared to a simple table calculation.
D
Database-level User Defined Functions (UDFs).
Why wrong: UDFs modify the underlying database logic, which is unnecessary here.

Data Analysis And Presentation practice questions

What to know about Data Analysis And Presentation

Common Data Analysis And Presentation exam traps

Data Analysis And Presentation questions

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?

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

A data scientist is using Vertex AI Workbench and needs to share a notebook with a team member who only needs read access. What is the most secure way to do this?

Your team wants to visualize BigQuery data in Looker Studio. What is the most efficient way to ensure the dashboard reflects fresh data without manual refreshes?

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?

A marketing manager needs to see daily sales trends in Looker. The underlying data is in BigQuery and is updated every 6 hours. What is the best way to visualize this?

You are using Vertex AI Workbench and want to ensure your notebook environment persists after the instance is stopped. Where should you save your work?

You need to analyze a petabyte-scale dataset in BigQuery. To optimize cost, you must ensure that users only query relevant partitions. How should you enforce this?

A user needs to see the distribution of values in a column in BigQuery. Which visualization approach is most effective for this?

You are developing a dashboard in Looker. You notice that the 'Explore' menu is missing a specific set of fields. What should you check in the LookML model?

When optimizing a Looker model, you want to prevent users from accidentally running very expensive queries. Which parameter should you use in LookML?

In BigQuery, you want to improve query performance for a table that is frequently filtered by a `customer_id` column. What is the recommended strategy?

When creating a Looker visualization, which chart type is best for showing the relationship between two numerical variables?

You are writing a Python script in Vertex AI Workbench. You want to query BigQuery and load the result into a pandas DataFrame. Which library should you use?

You have a dashboard in Looker Studio and you want to allow users to dynamically change the date range without editing the report. What should you add?

A user is running a query on a BigQuery table with nested data (JSON). How do you access a field named 'city' inside a record field named 'address'?

You are working in a Vertex AI Workbench notebook and want to list the files in your current working directory. What command should you run?

A BigQuery table has 10 billion rows. You notice a query performing a cross-join is timing out. What should you do?

When designing a Looker dashboard, you need to display a value that is the average of a specific metric across the entire dashboard. What is the best method?

A user wants to see the top 10 products sold, but also an 'Other' category for the rest. How can you achieve this in a Looker Explore?

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