Google ADP passing score, ADP exam review

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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Pipeline Orchestration18%- Pipeline design and automation
  • 1. Workflow orchestration concepts (e.g., Cloud Composer)
    • 2. Dataflow pipelines
      Topic 2: Data Analysis and Presentation27%- Querying and analyzing data
      • 1. Data aggregation and transformation
        • 2. BigQuery SQL usage
          - Data visualization
          • 1. Looker / Looker Studio reporting
            Topic 3: Data Management25%- Data governance and security
            • 1. IAM and access control
              • 2. Data lifecycle management
                - Storage and data organization
                • 1. BigQuery datasets and tables management
                  • 2. Cloud Storage lifecycle policies
                    Topic 4: Data Preparation and Ingestion30%- Data ingestion into Google Cloud services
                    • 1. Streaming ingestion with Pub/Sub concepts
                      • 2. Cloud Storage ingestion patterns

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                        Google Associate Data Practitioner Sample Questions (Q41-Q46):

                        NEW QUESTION # 41
                        Your organization is conducting analysis on regional sales metrics. Data from each regional sales team is stored as separate tables in BigQuery and updated monthly. You need to create a solution that identifies the top three regions with the highest monthly sales for the next three months. You want the solution to automatically provide up-to-date results. What should you do?

                        Answer: C


                        NEW QUESTION # 42
                        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 # 43
                        You need to create a weekly aggregated sales report based on a large volume of data. You want to use Python to design an efficient process for generating this report. What should you do?

                        Answer: A


                        NEW QUESTION # 44
                        You work for a healthcare company. You have a daily ETL pipeline that extracts patient data from a legacy system, transforms it, and loads it into BigQuery for analysis. The pipeline currently runs manually using a shell script. You want to automate this process and add monitoring to ensure pipeline observability and troubleshooting insights. You want one centralized solution, using open-source tooling, without rewriting the ETL code. What should you do?

                        Answer: C


                        NEW QUESTION # 45
                        Your company stores historical data in Cloud Storage. You need to ensure that all data is saved in a bucket for at least three years. What should you do?

                        Answer: C


                        NEW QUESTION # 46
                        ......

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