Free PDF 2026 Google ADP: Associate Data Practitioner Updated Test Study Guide

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| Section | Weight | Objectives |
|---|
| Data Preparation and Ingestion | 30% | - Storage solutions selection
- 1. Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner
- 2. Storage location types: regional, dual-regional, multi-regional, zonal
- Data formats and classification
- 1. Structured, semi-structured, unstructured data
- 2. Formats: CSV, JSON, Parquet, Avro, database tables
- Data loading methods
- 1. Batch and streaming ingestion
- 2. gcloud, BQ CLI, client libraries
- Data extraction and transfer tools
- 1. Cloud Data Fusion, Storage Transfer Service
- 2. Dataflow, BigQuery Data Transfer Service, Database Migration Service
|
| Data Management and Governance | 25% | - Data quality and maintenance
- 1. Data lifecycle management
- 2. Data validation and cleaning
- Compliance and governance
- 1. Data stewardship and cataloging
- 2. Data privacy and regulatory requirements
- Data security and access control
- 1. Data encryption and protection
- 2. IAM roles and permissions
|
| Data Pipeline Orchestration | 18% | - Pipeline automation and scheduling
- 1. Schedule and monitor data jobs
- 2. Error handling and monitoring
- Data transformation concepts
- 1. ETL vs ELT processes
- 2. Data transformation requirements
- Transformation tools selection
- 1. Dataproc, Dataflow, Cloud Data Fusion, Cloud Composer, Dataform
|
| Data Analysis and Presentation | 27% | - Business intelligence and decision support
- 1. Communicate findings effectively
- 2. Answer business questions with data
- Data exploration and analysis
- 1. Jupyter notebooks for analysis
- 2. BigQuery SQL queries
- 3. Identify trends, patterns, insights
- Data visualization and reporting
- 1. Visualization best practices
- 2. Looker dashboards and reports
|
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Google Associate Data Practitioner Sample Questions (Q15-Q20):
NEW QUESTION # 15
You manage a large amount of data in Cloud Storage, including raw data, processed data, and backups. Your organization is subject to strict compliance regulations that mandate data immutability for specific data types.
You want to use an efficient process to reduce storage costs while ensuring that your storage strategy meets retention requirements. What should you do?
- A. Configure lifecycle management rules to transition objects to appropriate storage classes based on access patterns. Set up Object Versioning for all objects to meet immutability requirements.
- B. Move objects to different storage classes based on their age and access patterns. Use Cloud Key Management Service (Cloud KMS) to encrypt specific objects with customer-managed encryption keys (CMEK) to meet immutability requirements.
- C. Create a Cloud Run function to periodically check object metadata, and move objects to the appropriate storage class based on age and access patterns. Use object holds to enforce immutability for specific objects.
- D. Use object holds to enforce immutability for specific objects, and configure lifecycle management rules to transition objects to appropriate storage classes based on age and access patterns.
Answer: D
NEW QUESTION # 16
You created a customer support application that sends several forms of data to Google Cloud. Your application is sending:
1. Audio files from phone interactions with support agents that will be accessed during trainings.
2. CSV files of users' personally identifiable information (PII) that will be analyzed with SQL.
3. A large volume of small document files that will power other applications.
You need to select the appropriate tool for each data type given the required use case, while following Google- recommended practices. Which should you choose?
- A. Cloud Storage BigQuery Firestore
- B. Cloud Storage CloudSQL for PostgreSQL Bigtable
- C. Filestore Bigtable BigQuery
- D. Filestore Cloud SQL for PostgreSQL Datastore
Answer: A
NEW QUESTION # 17
Your organization needs to store historical customer order dat
a. The data will only be accessed once a month for analysis and must be readily available within a few seconds when it is accessed. You need to choose a storage class that minimizes storage costs while ensuring that the data can be retrieved quickly. What should you do?
- A. Store the data in Cloud Storage using Nearline storage.
- B. Store the data in Cloud Storage using Archive storage.
- C. Store the data in Cloud Storage using Standard storage.
- D. Store the data in Cloud Storage using Coldline storage.
Answer: A
NEW QUESTION # 18
Your organization uses Dataflow pipelines to process real-time financial transactions. You discover that one of your Dataflow jobs has failed. You need to troubleshoot the issue as quickly as possible. What should you do?
- A. Create a custom script to periodically poll the Dataflow API for job status updates, and send email alerts if any errors are identified.
- B. Use the gcloud CLI tool to retrieve job metrics and logs, and analyze them for errors and performance bottlenecks.
- C. Navigate to the Dataflow Jobs page in the Google Cloud console. Use the job logs and worker logs to identify the error.
- D. Set up a Cloud Monitoring dashboard to track key Dataflow metrics, such as data throughput, error rates, and resource utilization.
Answer: C
NEW QUESTION # 19
Your company currently uses an on-premises network file system (NFS) and is migrating data to Google Cloud. You want to be able to control how much bandwidth is used by the data migration while capturing detailed reporting on the migration status. What should you do?
- A. Use gcloud storage commands.
- B. Use Storage Transfer Service.
- C. Use Cloud Storage FUSE.
- D. Use a Transfer Appliance.
Answer: B
NEW QUESTION # 20
......
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