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Data Analytics in Google Cloud Platform (GCP) test for hiring

See how candidates make practical decisions across Google Cloud data workflows.

10 menit
15 pertanyaan
Intermediate
Multiple choice
Questions in Inggris
Phone and desktop

Use this test free See the question formats

Jawaban singkat

The Data Analytics in Google Cloud Platform test is an intermediate hiring assessment for people who query, load, or model data on Google Cloud. Its multiple-choice scenarios measure practical judgment in loading and storing data, interpreting BigQuery queries or pipeline steps, reporting in Looker Studio, and tuning work for speed and cost.

Hal yang diukur

Practical judgment in loading, shaping, reporting on and tuning data work in Google Cloud.

Ingestion and storage

Candidates choose how data should be loaded and stored in Google Cloud.

Transformation and processing

Candidates interpret what a BigQuery query or pipeline step produces.

Analysis and visualization

Candidates select how to report results in Looker Studio.

Performance and cost

Candidates use query details or job statistics to make analytics work faster and cheaper.

Question formats

Multiple choice

The candidate: Reads a short situation, table or statement and picks the right answer, or every right answer.

You see: Whether the candidate knows the material well enough to apply it, not just recognize it.

15 questions in 10 minutes, served one at a time.

Roles this test fits

People who query, load or model data on Google Cloud: reporting and data analysts, analytics engineers, data engineers, business intelligence developers, data science practitioners who prepare their own data, and architects who design cloud data platforms.

Evidence from practical data decisions

See judgment beyond tool names
Small tables, SQL queries, and job statistics give candidates concrete information to interpret, so you can review how they reason about Google Cloud work.
Review reporting choices
Looker Studio scenarios show how candidates choose a way to report results, adding evidence beyond a resume's list of analytics tools.
Assess cost and performance tradeoffs
Questions ask candidates to decide how to make queries faster and cheaper, using the information provided rather than relying on a particular console screen.

What you get for each candidate

Example report (fictional data)Data Analytics in Google Cloud Platform (GCP)

83%Percentile 73. Benchmark: HireValid candidates, n = 2.047

Ingestion and storage87%

Transformation and processing88%

Analysis and visualization65%

Performance and cost90%

Integrity ScoreTingkat keyakinan tinggi

Stayed on the test tab throughout
No pasted answers
Answered at a steady pace

Scores, profiles and integrity signals are evidence for you to review alongside an interview, never an automatic decision.

Use this test free

Test controls and review signals

Each candidate gets a different set of questions from large question pools, in a different order, with answer options shuffled. The browser shows one question at a time, and answer keys stay on HireValid's servers. The 10-minute timer runs on the server; reloading brings back the same question with only the time left. Candidates cannot go back to earlier questions. Question text cannot be copied or selected, and a blocked copy attempt is recorded in the timeline. HireValid records signals such as time away from the test tab, pastes into answers, and answers faster than a question can be read. An Integrity Score and evidence timeline are for the employer to review; neither decides on its own. With candidate consent, random webcam photos can be added.

Cara kami mencegah kecurangan dengan AI · Integrity signals

Use the score as one signal

Review the score alongside a work sample that reflects the role, such as loading a small dataset or explaining a query result. Use a structured interview to explore the candidate's decisions. The score is evidence for a person to review, not a pass mark or a hiring decision. For related assessments, compare Snowflake, Tableau, or Power BI.

Pertanyaan wawancara terstruktur

Tell me how you would decide where to load and store a new set of web events in Google Cloud.
Listen for how they clarify the data's use and explain a workable loading and storage choice.
Walk me through how you would check what a BigQuery query or pipeline step produced.
Listen for a clear reading of the query or output and how they would verify the result.
Describe a change you would consider after reviewing job statistics for a slow, costly query.
Listen for a reasoned tuning choice tied to the statistics and the intended analysis.

Understand scoring and benchmarks

Fairness and accommodations

Scenarios use neutral business data such as orders, sensor readings, web events and support tickets, with no money symbols and no regional knowledge needed. Questions ask about stable, documented behavior rather than price figures or features still in preview, and every table, query or statistic a question needs is shown in the question, so nothing depends on recalling a particular console screen.

You can give any candidate extra time as an accommodation. Results are evidence for a person to review, never an automatic decision.

Provisional: reliability is reported once 200 candidates have completed it.

Baca pendekatan kami terhadap keadilan

Test details

Scenario questions on running analytics work in Google Cloud at an intermediate level. Candidates choose how data should be loaded and stored, read what a BigQuery query or pipeline step produces, pick the right way to report on results in Looker Studio, and decide how to make queries faster and cheaper. Many questions show a small table, a short SQL query or a set of job statistics to work from.

Questions are in English.
No aids are needed.
Each question is answered once, in order, with no going back.
4 practice questions, 4 minutes, before the timed test.

Google Cloud Platform, Google Cloud, BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Dataform, Cloud Composer, Looker Studio are trademarks of their owners. HireValid is not affiliated with or endorsed by them.

Pertanyaan yang sering diajukan

Who should take the Data Analytics in Google Cloud Platform test?+

It is for intermediate-level work by reporting and data analysts, analytics engineers, data engineers, business intelligence developers, data science practitioners who prepare their own data, and architects who design cloud data platforms. It is suited to roles that query, load, or model data on Google Cloud.

What makes the Data Analytics in Google Cloud Platform test scenarios fair?+

Scenarios use neutral business data such as orders, sensor readings, web events, and support tickets. No regional knowledge is needed. Tables, queries, or statistics required for a question appear in the question, which does not depend on recalling a console screen.

Does the Data Analytics in Google Cloud Platform (GCP) test ask about prices or preview features?+

No. Questions ask about stable, documented behavior, not price figures or features still in preview, so a candidate who knows how BigQuery and the pipeline services behave is not caught out by a recent pricing change. No aids are allowed, and candidates cannot return to an earlier question.

Can candidates try the Data Analytics in Google Cloud Platform test first?+

Yes. The practice set has four questions and takes four minutes. It offers a chance to see the multiple-choice question format before the scored assessment. For another data-work comparison, see [Data Extraction, Transformation, and Loading (ETL)](/tests/role-specific-skills/data-extraction-transformation-and-loading-etl).