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Storing the Data practice questions

Practise Google Professional Data Engineer Storing the Data 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: Storing the Data

What the exam tests

What to know about Storing the Data

Storing the Data 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 Storing the Data 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

Storing the Data questions

20 questions · select your answer, then reveal the explanation

An e-commerce company uses Cloud Spanner for order processing. They need to query orders by customer ID and retrieve all order items. Which schema design pattern should they use for optimal performance?

Question 2mediummultiple choice
Read the full Storing the Data explanation →

A company stores sensitive data in BigQuery and needs to encrypt certain columns with customer-managed encryption keys (CMEK) while using BigQuery's analytics capabilities. What should they do?

A company needs to store logs in Cloud Storage for compliance, with a requirement that logs cannot be deleted or overwritten for a period of 7 years. Which Cloud Storage feature should they enable?

A company is migrating an on-premises PostgreSQL database to Google Cloud. They need a fully managed database that is compatible with PostgreSQL and can handle both transactional and analytical workloads with high performance. Which two database services meet these requirements? (Choose TWO.)

Question 5mediummultiple choice
Read the full Storing the Data explanation →

A company wants to store backups of on-premises databases in Google Cloud for long-term retention. They need WORM (Write Once, Read Many) compliance and object-level retention policies. What should they use?

A company wants to run complex analytical queries on structured data without managing infrastructure. The data volume is terabytes and queries can take seconds to minutes. Which service is appropriate?

A data engineer wants to create a BigQuery external table that queries data stored in Parquet format in Cloud Storage without loading the data into BigQuery. Which approach is correct?

A team wants to store semi-structured user profile data for a web application. The data is accessed via a REST API and requires security rules to control read/write access. Which database fits best?

A company wants to build a reporting pipeline where data is collected from IoT devices, stored raw in Cloud Storage, and then processed into BigQuery for analytics. They need to ensure data is encrypted at rest using customer-managed keys. Which THREE steps should they take? (Choose 3 correct options)

Question 10mediummultiple choice
Read the full Storing the Data explanation →

A company needs to store petabytes of time-series IoT sensor data and query it with single-digit millisecond latency at millions of reads per second. The data has a simple key-value structure with timestamps. Which Google Cloud database is MOST appropriate?

A company runs a global financial application requiring strong consistency across continents with 99.999% availability. They need to store transaction data with ACID properties and sub-10ms write latency from any region. Which storage service meets all requirements?

Question 12mediummultiple choice
Read the full Storing the Data explanation →

A company is designing a data lake on Cloud Storage with three zones: raw, curated, and processed. They need to enforce data governance by restricting access to each zone using IAM. Which approach should they take?

A team needs to run hybrid transactional/analytical workloads on PostgreSQL-compatible data with low latency. They require high performance on both OLTP and OLAP queries, leveraging a columnar engine. Which Google Cloud service is best suited?

A company is designing a data lake on Cloud Storage with BigLake tables for unified governance. Which TWO statements about BigLake are correct? (Choose 2.)

A company uses Cloud Storage to store sensitive customer data. They need to restrict access to the data so that only requests from within a specific VPC network are allowed, and block all access from the public internet. Which TWO configurations should they implement? (Choose 2.)

A team is designing a Spanner database for a global inventory system. They need to optimize query performance for frequently joined tables. Which THREE design decisions help achieve this? (Choose 3.)

Question 17mediummultiple choice
Read the full Storing the Data explanation →

A company needs to store petabytes of time-series IoT sensor data and query it with single-digit millisecond latency at millions of reads per second. The data has a simple key-value structure with timestamps. Which Google Cloud database is MOST appropriate?

A company stores highly sensitive financial data in BigQuery. They need to encrypt certain columns (e.g., credit card numbers) with customer-managed encryption keys (CMEK) at the column level. Which BigQuery feature should they use?

A mobile app needs a real-time NoSQL database that supports offline sync and automatic conflict resolution. Which Google Cloud database is best suited?

A data engineer is designing a Bigtable row key for a time-series dataset where each row represents a sensor reading. The team expects high write throughput and wants to avoid hotspots. Which row key design is BEST?

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Frequently asked questions

What does the PDE exam test about Storing the Data?
Storing the Data questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Storing the Data questions in a focused session?
Yes — the session launcher on this page draws every question from the Storing the Data domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other PDE topics?
Use the topic links above to move to related areas, or go back to the PDE question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the PDE exam covers. They are not copied from any real exam or dump site.