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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Analysis and Presentation27%- Data visualization and reporting
  • 1. Looker dashboards and reports
  • 2. Visualization best practices
- Business intelligence and decision support
  • 1. Communicate findings effectively
  • 2. Answer business questions with data
- Data exploration and analysis
  • 1. BigQuery SQL queries
  • 2. Jupyter notebooks for analysis
  • 3. Identify trends, patterns, insights
Topic 2: Data Preparation and Ingestion30%- Storage solutions selection
  • 1. Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner
  • 2. Storage location types: regional, dual-regional, multi-regional, zonal
- 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 formats and classification
  • 1. Structured, semi-structured, unstructured data
  • 2. Formats: CSV, JSON, Parquet, Avro, database tables
Topic 3: Data Pipeline Orchestration18%- Data transformation concepts
  • 1. ETL vs ELT processes
  • 2. Data transformation requirements
- Transformation tools selection
  • 1. Dataproc, Dataflow, Cloud Data Fusion, Cloud Composer, Dataform
- Pipeline automation and scheduling
  • 1. Schedule and monitor data jobs
  • 2. Error handling and monitoring
Topic 4: Data Management and Governance25%- Data security and access control
  • 1. Data encryption and protection
  • 2. IAM roles and permissions
- Data quality and maintenance
  • 1. Data validation and cleaning
  • 2. Data lifecycle management
- Compliance and governance
  • 1. Data privacy and regulatory requirements
  • 2. Data stewardship and cataloging

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Google Associate Data Practitioner Sample Questions (Q19-Q24):

NEW QUESTION # 19
Your organization has decided to migrate their existing enterprise data warehouse to BigQuery. The existing data pipeline tools already support connectors to BigQuery. You need to identify a data migration approach that optimizes migration speed. What should you do?

Answer: C


NEW QUESTION # 20
Your organization has a petabyte of application logs stored as Parquet files in Cloud Storage. You need to quickly perform a one- time SQL-based analysis of the files and join them to data that already resides in BigQuery. What should you do?

Answer: D


NEW QUESTION # 21
Your company uses Looker as its primary business intelligence platform. You want to use LookML to visualize the profit margin for each of your company's products in your Looker Explores and dashboards.
You need to implement a solution quickly and efficiently. What should you do?

Answer: A


NEW QUESTION # 22
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?

Answer: A


NEW QUESTION # 23
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?

Answer: B


NEW QUESTION # 24
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