Free practice test
PDEFree Professional Data Engineer practice test
10 original Data Engineer questions, playable right now. No account, no card, no email gate. Every answer opens the full explanation: the concept, why the right option is right, and why each wrong option is wrong, cited to the authoritative documentation behind it.
Sample question 1 of 10
A team uses a Google-provided template with a fixed window duration and finds that late arrivals are being discarded. Which change to the template code addresses that?
Sample question 2 of 10
A team runs one Dataflow pipeline in batch and another in streaming, and neither job sets a processing mode explicitly. Which guarantee applies to each job?
Sample question 3 of 10
A team creates an object table over a bucket of scanned PDF files and runs a select against it. What does each row represent?
Sample question 4 of 10
An analyst types a query into the console and wants to know what it will cost before running it. What does the query validator report?
Sample question 5 of 10
A team subscribes to a listing that shares a BigQuery dataset from another organization. What appears in the team's own project?
Sample question 6 of 10
A team keeps its cluster data in on-cluster HDFS and wants autoscaling to shrink the cluster overnight. What makes autoscaling a poor fit here?
Sample question 7 of 10
A team has created Datastream connection profiles and now adds a stream on top of them. What does that stream move from source to destination?
Sample question 8 of 10
A company holds years of data in tables named with a date suffix and asks whether to keep that layout. What does a partitioned table offer over it?
Sample question 9 of 10
A team sees data freshness stuck high on a Pub/Sub sourced job that is plainly emitting output at a high rate. What explains that combination?
Sample question 10 of 10
An analyst benchmarks a dashboard query with and without BI Engine and gets identical timings both ways. Which setting should be turned off first?
Full Data Engineer question bank coming
We’re writing the complete bank from the official objectives right now. Leave your email and we’ll tell you when it ships, nothing else, ever.
What this test covers
These 10 questions are drawn across the published exam blueprint rather than from one chapter: this set touches Ingesting and processing the data, Designing data processing systems, Storing the data, Maintaining and automating data workloads, Preparing and using data for analysis. Every question is original, written from the official objectives, and verified against a cited vendor page before it serves. None are recalled exam content, which is why the explanations can cite their sources.
A 10-question sample tells you where you stand, not whether you are ready. The full experience is numbered practice exams: 40 questions apportioned to the official domain weightings, sat under the real 120-minute clock and scored against the published cut score.
Keep reading
Data Engineer practice questions
Free sample questions with the full explanation on every answer.
Data Engineer exam objectives
The full official blueprint, with practice pages on covered objectives.
Data Engineer passing score
The exact cut score, what kind of number it is, and the retake terms.
How hard is Data Engineer?
An honest difficulty read from the format, the clock and the weights.