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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Data Analysis and Presentation27%- Data exploration and analysis
  • 1. BigQuery SQL queries
  • 2. Jupyter notebooks for analysis
  • 3. Identify trends, patterns, insights
- Business intelligence and decision support
  • 1. Communicate findings effectively
  • 2. Answer business questions with data
- Data visualization and reporting
  • 1. Visualization best practices
  • 2. Looker dashboards and reports
Data Management and Governance25%- Compliance and governance
  • 1. Data stewardship and cataloging
  • 2. Data privacy and regulatory requirements
- Data quality and maintenance
  • 1. Data validation and cleaning
  • 2. Data lifecycle management
- Data security and access control
  • 1. Data encryption and protection
  • 2. IAM roles and permissions
Data Pipeline Orchestration18%- Data transformation concepts
  • 1. Data transformation requirements
  • 2. ETL vs ELT processes
- Transformation tools selection
  • 1. Dataproc, Dataflow, Cloud Data Fusion, Cloud Composer, Dataform
- Pipeline automation and scheduling
  • 1. Error handling and monitoring
  • 2. Schedule and monitor data jobs
Data Preparation and Ingestion30%- Data loading methods
  • 1. gcloud, BQ CLI, client libraries
  • 2. Batch and streaming ingestion
- Data formats and classification
  • 1. Structured, semi-structured, unstructured data
  • 2. Formats: CSV, JSON, Parquet, Avro, database tables
- Storage solutions selection
  • 1. Storage location types: regional, dual-regional, multi-regional, zonal
  • 2. Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner
- Data extraction and transfer tools
  • 1. Dataflow, BigQuery Data Transfer Service, Database Migration Service
  • 2. Cloud Data Fusion, Storage Transfer Service

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Google Associate Data Practitioner Sample Questions (Q63-Q68):

NEW QUESTION # 63
You are working on a project that requires analyzing daily social media dat a. You have 100 GB of JSON formatted data stored in Cloud Storage that keeps growing.
You need to transform and load this data into BigQuery for analysis. You want to follow the Google-recommended approach. What should you do?

Answer: D


NEW QUESTION # 64
Your organization has decided to move their on-premises Apache Spark-based workload to Google Cloud.
You want to be able to manage the code without needing to provision and manage your own cluster. What should you do?

Answer: C


NEW QUESTION # 65
You are migrating data from a legacy on-premises MySQL database to Google Cloud. The database contains various tables with different data types and sizes, including large tables with millions of rows and transactional dat a. You need to migrate this data while maintaining data integrity, and minimizing downtime and cost. What should you do?

Answer: B


NEW QUESTION # 66
You work for a home insurance company. You are frequently asked to create and save risk reports with charts for specific areas using a publicly available storm event dataset. You want to be able to quickly create and re- run risk reports when new data becomes available. What should you do?

Answer: D


NEW QUESTION # 67
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?

Answer: A


NEW QUESTION # 68
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