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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Data Analysis and Presentation27%- Data exploration and analysis
  • 1. Jupyter notebooks for analysis
  • 2. Identify trends, patterns, insights
  • 3. BigQuery SQL queries
- 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 Preparation and Ingestion30%- Storage solutions selection
  • 1. Storage location types: regional, dual-regional, multi-regional, zonal
  • 2. Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner
- 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. Formats: CSV, JSON, Parquet, Avro, database tables
  • 2. Structured, semi-structured, unstructured data
Data Management and Governance25%- Data security and access control
  • 1. IAM roles and permissions
  • 2. Data encryption and protection
- Compliance and governance
  • 1. Data privacy and regulatory requirements
  • 2. Data stewardship and cataloging
- Data quality and maintenance
  • 1. Data validation and cleaning
  • 2. Data lifecycle management
Data Pipeline Orchestration18%- 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 transformation concepts
  • 1. ETL vs ELT processes
  • 2. Data transformation requirements

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The Google ADP certification exam is one of the best credentials in the modern Google world. The Associate Data Practitioner (ADP) certification offers a unique opportunity for beginners or experienced professionals to demonstrate their expertise and knowledge with an industry-recognized certificate. With the Associate Data Practitioner (ADP) exam dumps, you can not only validate your skill set but also get solid proof of your proven expertise and knowledge.

Google Associate Data Practitioner Sample Questions (Q24-Q29):

NEW QUESTION # 24
Your team is building several data pipelines that contain a collection of complex tasks and dependencies that you want to execute on a schedule, in a specific order. The tasks and dependencies consist of files in Cloud Storage, Apache Spark jobs, and data in BigQuery. You need to design a system that can schedule and automate these data processing tasks using a fully managed approach. What should you do?

Answer: C


NEW QUESTION # 25
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?

Answer: B


NEW QUESTION # 26
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: C


NEW QUESTION # 27
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?

Answer: C


NEW QUESTION # 28
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: C


NEW QUESTION # 29
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