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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Pipeline Orchestration18%- Transformation tools selection
  • 1. Dataproc, Dataflow, Cloud Data Fusion, Cloud Composer, Dataform
- Data transformation concepts
  • 1. Data transformation requirements
  • 2. ETL vs ELT processes
- Pipeline automation and scheduling
  • 1. Error handling and monitoring
  • 2. Schedule and monitor data jobs
Topic 2: Data Analysis and Presentation27%- 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
- Data visualization and reporting
  • 1. Visualization best practices
  • 2. Looker dashboards and reports
Topic 3: Data Management and Governance25%- Compliance and governance
  • 1. Data stewardship and cataloging
  • 2. Data privacy and regulatory requirements
- Data security and access control
  • 1. IAM roles and permissions
  • 2. Data encryption and protection
- Data quality and maintenance
  • 1. Data lifecycle management
  • 2. Data validation and cleaning
Topic 4: 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

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Google Associate Data Practitioner Sample Questions (Q47-Q52):

NEW QUESTION # 47
You are working with a large dataset of customer reviews stored in Cloud Storage. The dataset contains several inconsistencies, such as missing values, incorrect data types, and duplicate entries. You need toclean the data to ensure that it is accurate and consistent before using it for analysis. What should you do?

Answer: D


NEW QUESTION # 48
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: C


NEW QUESTION # 49
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: B


NEW QUESTION # 50
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 # 51
Your organization plans to move their on-premises environment to Google Cloud. Your organization's network bandwidth is less than 1 Gbps. You need to move over 500 ## of data to Cloud Storage securely, and only have a few days to move the dat a. What should you do?

Answer: B


NEW QUESTION # 52
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