Google ADP Valid Test Fee - ADP Testdump

These mock tests are specially built for you to assess what you have studied. These Associate Data Practitioner (ADP) practice tests are customizable, which means you can change the time and questions according to your needs. Taking practice exams teaches you time management so you can pass the Associate Data Practitioner (ADP) exam. ITExamDownload's ADP practice exam makes an image of a real-based examination which is helpful for you to not feel much pressure when you are giving the final examination.

Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Data Management and Governance25%- Compliance and governance
  • 1. Data privacy and regulatory requirements
  • 2. Data stewardship and cataloging
- 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
Data Analysis and Presentation27%- Data exploration and analysis
  • 1. BigQuery SQL queries
  • 2. Jupyter notebooks for analysis
  • 3. Identify trends, patterns, insights
- 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 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
Data Preparation and Ingestion30%- 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. Storage location types: regional, dual-regional, multi-regional, zonal
  • 2. Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner
- 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 (Q14-Q19):

NEW QUESTION # 14
Your organization's ecommerce website collects user activity logs using a Pub/Sub topic. Your organization's leadership team wants a dashboard that contains aggregated user engagement metrics. You need to create a solution that transforms the user activity logs into aggregated metrics, while ensuring that the raw data can be easily queried. What should you do?

Answer: A


NEW QUESTION # 15
You used BigQuery ML to build a customer purchase propensity model six months ago. You want to compare the current serving data with the historical serving data to determine whether you need to retrain the model.
What should you do?

Answer: B


NEW QUESTION # 16
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: A


NEW QUESTION # 17
You are designing a BigQuery data warehouse with a team of experienced SQL developers. You need to recommend a cost- effective, fully-managed, serverless solution to build ELT processes with SQL pipelines.
Your solution must include source code control, environment parameterization, and data quality checks. What should you do?

Answer: A


NEW QUESTION # 18
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 # 19
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