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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Data Pipeline Orchestration18%- Pipeline design and automation
  • 1. Dataflow pipelines
    • 2. Workflow orchestration concepts (e.g., Cloud Composer)
      Data Analysis and Presentation27%- Querying and analyzing data
      • 1. Data aggregation and transformation
        • 2. BigQuery SQL usage
          - Data visualization
          • 1. Looker / Looker Studio reporting
            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
                    Data Preparation and Ingestion30%- Data ingestion into Google Cloud services
                    • 1. Cloud Storage ingestion patterns
                      • 2. Streaming ingestion with Pub/Sub concepts

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                        Google Associate Data Practitioner Sample Questions (Q64-Q69):

                        NEW QUESTION # 64
                        You created a customer support application that sends several forms of data to Google Cloud. Your application is sending:
                        1. Audio files from phone interactions with support agents that will be accessed during trainings.
                        2. CSV files of users' personally identifiable information (PII) that will be analyzed with SQL.
                        3. A large volume of small document files that will power other applications.
                        You need to select the appropriate tool for each data type given the required use case, while following Google- recommended practices. Which should you choose?

                        Answer: C


                        NEW QUESTION # 65
                        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 # 66
                        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: D


                        NEW QUESTION # 67
                        You are predicting customer churn for a subscription-based service. You have a 50 PB historical customer dataset in BigQuery that includes demographics, subscription information, and engagement metrics. You want to build a churn prediction model with minimal overhead. You want to follow the Google-recommended approach. What should you do?

                        Answer: D


                        NEW QUESTION # 68
                        You are designing a pipeline to process data files that arrive in Cloud Storage by 3:00 am each day. Data processing is performed in stages, where the output of one stage becomes the input of the next. Each stage takes a long time to run. Occasionally a stage fails, and you have to address the problem. You need to ensure that the final output is generated as quickly as possible. What should you do?

                        Answer: B


                        NEW QUESTION # 69
                        ......

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