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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
- 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
Topic 2: 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. Schedule and monitor data jobs
  • 2. Error handling and monitoring
Topic 3: 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 lifecycle management
  • 2. Data validation and cleaning
- Compliance and governance
  • 1. Data privacy and regulatory requirements
  • 2. Data stewardship and cataloging
Topic 4: Data Preparation and Ingestion30%- Data formats and classification
  • 1. Formats: CSV, JSON, Parquet, Avro, database tables
  • 2. Structured, semi-structured, unstructured data
- Data loading methods
  • 1. gcloud, BQ CLI, client libraries
  • 2. Batch and streaming ingestion
- Data extraction and transfer tools
  • 1. Cloud Data Fusion, Storage Transfer Service
  • 2. Dataflow, BigQuery Data Transfer Service, Database Migration Service
- Storage solutions selection
  • 1. Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner
  • 2. Storage location types: regional, dual-regional, multi-regional, zonal

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Google Associate Data Practitioner Sample Questions (Q55-Q60):

NEW QUESTION # 55
Your company has an on-premises file server with 5 TB of data that needs to be migrated to Google Cloud.
The network operations team has mandated that you can only use up to 250 Mbps of the total available bandwidth for the migration. You need to perform an online migration to Cloud Storage. What should you do?

Answer: D


NEW QUESTION # 56
You work for an ecommerce company that has a BigQuery dataset that contains customer purchase history, demographics, and website interactions. You need to build a machine learning (ML) model to predict which customers are most likely to make a purchase in the next month. You have limited engineering resources and need to minimize the ML expertise required for the solution. What should you do?

Answer: C


NEW QUESTION # 57
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: D


NEW QUESTION # 58
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: B


NEW QUESTION # 59
You need to design a data pipeline that ingests data from CSV, Avro, and Parquet files into Cloud Storage.
The data includes raw user input. You need to remove all malicious SQL injections before storing the data in BigQuery. Which data manipulation methodology should you choose?

Answer: B


NEW QUESTION # 60
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