ADP Latest Exam Test - Latest ADP Exam Objectives

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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Preparation and Ingestion30%- Data extraction and transfer tools
  • 1. Dataflow, BigQuery Data Transfer Service, Database Migration Service
  • 2. Cloud Data Fusion, Storage Transfer Service
- Data formats and classification
  • 1. Formats: CSV, JSON, Parquet, Avro, database tables
  • 2. Structured, semi-structured, unstructured data
- 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
Topic 2: Data Analysis and Presentation27%- Business intelligence and decision support
  • 1. Answer business questions with data
  • 2. Communicate findings effectively
- Data exploration and analysis
  • 1. Jupyter notebooks for analysis
  • 2. Identify trends, patterns, insights
  • 3. BigQuery SQL queries
- Data visualization and reporting
  • 1. Looker dashboards and reports
  • 2. Visualization best practices
Topic 3: 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
Topic 4: Data Pipeline Orchestration18%- Pipeline automation and scheduling
  • 1. Error handling and monitoring
  • 2. Schedule and monitor data jobs
- Transformation tools selection
  • 1. Dataproc, Dataflow, Cloud Data Fusion, Cloud Composer, Dataform
- Data transformation concepts
  • 1. Data transformation requirements
  • 2. ETL vs ELT processes

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Google Associate Data Practitioner Sample Questions (Q22-Q27):

NEW QUESTION # 22
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: D


NEW QUESTION # 23
Your organization is building a new application on Google Cloud. Several data files will need to be stored in Cloud Storage. Your organization has approved only two specific cloud regions where these data files can reside. You need to determine a Cloud Storage bucket strategy that includes automated high availability.
What should you do?

Answer: B


NEW QUESTION # 24
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 # 25
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: C


NEW QUESTION # 26
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 # 27
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