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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data-Driven Decision Making10-20%- Define success metrics
- Assess data quality and completeness
- Identify stakeholders and requirements
- Translate business requirements into data solutions
Topic 2: Data Preparation and Exploration20-30%- Transform and prepare data for analysis
- Identify data quality issues
- Ingest and acquire data
- Explore data through visualization and queries
- Perform exploratory data analysis (EDA)
Topic 3: Data Processing and Analytics20-30%- Build and maintain data pipelines
- Query and analyze datasets
- Use BigQuery and SQL for analytics
- Apply statistical methods for analysis
- Aggregate and summarize data
Topic 4: Data Visualization and Insights20-30%- Interpret and communicate findings
- Create dashboards and reports
- Build visualizations using Looker Studio
- Present data insights to stakeholders
- Choose appropriate visualization types

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

NEW QUESTION # 47
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 # 48
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 # 49
Your company is migrating their batch transformation pipelines to Google Cloud. You need to choose a solution that supports programmatic transformations using only SQL. You also want the technology to support Git integration for version control of your pipelines. What should you do?

Answer: B


NEW QUESTION # 50
Your organization has several datasets in BigQuery. The datasets need to be shared with your external partners so that they can run SQL queries without needing to copy the data to their own projects. You have organized each partner's data in its own BigQuery dataset. Each partner should be able to access only their dat a. You want to share the data while following Google-recommended practices. What should you do?

Answer: C


NEW QUESTION # 51
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: A


NEW QUESTION # 52
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