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Google Cloud · GCP-ADP · Intermediate

Associate Data Practitioner — Practice Questions and Mock Exam

Associate Data Practitioner covers preparing, analyzing and managing data with Google Cloud, including pipeline orchestration.

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Checked against Google Cloud · September 2026 · Current exam version

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Data Analysis and Presentation1 / 5

Which SQL statement is used in BigQuery ML to generate predictions from a trained model?

AlexFull explanation from Alex

In BigQuery ML, ML.PREDICT generates predictions from a trained model by applying it to new data (docs.cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-predict). The standard workflow uses CREATE MODEL for training, ML.EVALUATE for performance metrics, and ML.PREDICT for inference. ML.TRAIN does not exist—model training uses CREATE MODEL syntax. ML.SCORE is not a valid BigQuery ML function. ML.INFER is also not a BigQuery ML function. The correct syntax is SELECT * FROM ML.PREDICT(MODEL project.dataset.model, (SELECT ...)).

Sourcedocs.cloud.google.com

Data Preparation and Ingestion2 / 5

You are building a data pipeline that needs to continuously replicate changes from an on-premises Oracle database to BigQuery in near real-time. Which Google Cloud service is designed for this change data capture (CDC) use case?

AlexFull explanation from Alex

Datastream is Google Cloud's serverless CDC (change data capture) and replication service. It continuously reads the transaction log of source databases (Oracle, MySQL, PostgreSQL, SQL Server, AlloyDB) and streams changes to destinations like BigQuery, Cloud Storage, or Cloud SQL. This makes it ideal for near real-time replication from on-premises databases. Unlike Database Migration Service (which is focused on one-time or continuous migration to Cloud SQL/AlloyDB), Datastream specifically targets CDC use cases where you need ongoing replication to analytics destinations like BigQuery. BigQuery Data Transfer Service only imports from SaaS sources like Google Ads, not from operational databases. Storage Transfer Service moves files between storage systems, not database records. Exam tip: CDC from operational databases = Datastream.

Sourcecloud.google.com

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Conversation preview · GCP-ADP

Predictions in BigQuery ML

  1. You

    The model is trained. Which function applies it to new rows?

  2. Alex · AI tutor

    ML.PREDICT generates predictions from the trained model.

    Read the documentation ↗
  3. You

    Is that the same as training it again?

  4. Alex · AI tutor

    No. CREATE MODEL trains a model; ML.PREDICT uses the existing model for inference.

    Read the documentation ↗

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GCP-ADP · Question excerpt

Predictions in BigQuery ML

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Which SQL statement is used in BigQuery ML to generate predictions from a trained model?

Understand the correct answer.

SELECT * FROM ML.PREDICT

Use ML.PREDICT with the trained model and new input data.

Read the documentation ↗

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Question counts and mock exam settings from the current Pass-IT catalog.

Exam domains

What you practice for GCP-ADP.

Exam topics, relevant practice and sources you can check.

Preparing and loading dataSee the guide for weighting82 QuestionsPass-IT questions

Choose how to clean, move and store data.

  • Compare ETL, ELT and ETLT, check data quality and clean data with SQL or data-processing tools.
  • Recognize formats such as CSV, JSON, Parquet and Avro, then choose extraction and transfer tools.
  • Match structured and unstructured data to storage services and locations, then load it with command-line tools or client libraries.
Official certification objectives
Analysis, dashboards and modelsSee the guide for weighting73 QuestionsPass-IT questions

Turn data into reports, visualizations and predictions.

  • Answer business questions with BigQuery SQL and analyze or visualize data in Jupyter notebooks.
  • Build and share Looker dashboards, compare Looker Studio and adjust simple LookML model parameters.
  • Plan an ML project, train and evaluate BigQuery ML models, use them for predictions, access remote LLMs and organize models in Model Registry.
Official certification objectives
Orchestrating data pipelinesSee the guide for weighting55 QuestionsPass-IT questions

Build simple pipelines and control when they run.

  • Choose transformation tools such as Dataflow, Dataproc or Dataform and decide whether ETL or ELT fits.
  • Schedule queries and workflows, or trigger ingestion with Pub/Sub and Eventarc.
  • Inspect Dataflow job progress and use Cloud Logging and Cloud Monitoring to investigate processing problems.
Official certification objectives
Managing and protecting dataSee the guide for weighting90 QuestionsPass-IT questions

Control access, retention and recovery for stored data.

  • Apply least-privilege IAM roles, choose Cloud Storage access controls and identify when Analytics Hub suits data sharing.
  • Choose storage classes and retention or deletion rules based on access frequency and archival needs.
  • Compare backups, replication and storage locations for availability and disaster recovery.
  • Distinguish encryption at rest from encryption in transit, and compare Google-managed, customer-managed and customer-supplied keys.
Official certification objectives
Question formats you can practice
Multiple Choice
Select one answer.
Multiple Response
Select multiple applicable answers.

These are practice formats in Pass-IT. See the Official certification objectives for the official exam requirements.

Frequently asked questions

Your preparation

How much study time should I plan for GCP-ADP?

For planning, Pass-IT estimates roughly 35–90 hours. Relevant experience may put you toward the lower end; starting from scratch may put you toward the higher end. Your needs may fall outside this range. This is not a time requirement from Google Cloud or a promise that you will be exam-ready within that time.

What do you need before the Associate Data Practitioner exam?

Google Cloud sets no formal prerequisite and recommends about six months of working with data on the platform. The catalog budget is around 60 hours. It is an associate exam, so it expects familiarity with BigQuery and the console rather than architectural judgement.

Using Pass-IT

What language are Pass-IT questions in?

Questions in the app are currently in English. Translations of the sample questions on this page apply only to this preview. Check with Google Cloud for the languages available for the official exam.

How long does my GCP-ADP access last?

Access covers this certification for 12 months. You pay once, with no automatic renewal.

When does the money-back guarantee apply?

The guarantee refunds the Pass-IT purchase price for this certification. You need eligible paid access and a Readiness Score of at least 80% from your practice results when you take the exam. This score can only reach 80% after at least 50 answered questions and is not a validated probability of passing. Take the exam during your access period and submit official proof of failing within 14 days. Guarantee terms

About the GCP-ADP exam

Where can I take the GCP-ADP exam?

Online-proctored (Pearson VUE) or onsite-proctored at testing centers.

How long is the Associate Data Practitioner valid?

Three years, which is longer than the two years Google Cloud gives its professional certifications. Renewal happens inside an eligibility window before the expiry date rather than at any time you choose.

What happens if you fail the Associate Data Practitioner exam?

The waiting periods escalate: 14 days after the first failure, 60 days after the second and 365 days after the third. Google Cloud also caps you at four attempts in any two-year period. A third failure is therefore expensive in time, which is an argument for sitting it only once you are ready.

Associate Data Practitioner or Professional Data Engineer?

The associate exam is about using the data platform: ingesting, preparing, analysing and presenting. The professional exam is about designing the systems that do it, and its budget is 100 hours against 60. If you are asked what a pipeline should look like rather than how to run one, the professional exam is the right target.

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Money back if you fail with at least 80% Readiness, for eligible purchases under the guarantee terms.

Guarantee terms

The guarantee refunds the Pass-IT purchase price for this certification. You need eligible paid access and a Readiness Score of at least 80% from your practice results when you take the exam. This score can only reach 80% after at least 50 answered questions and is not a validated probability of passing. Take the exam during your access period and submit official proof of failing within 14 days.

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