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Google ADP Exam Syllabus Topics:

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

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                        Google Associate Data Practitioner Sample Questions (Q44-Q49):

                        NEW QUESTION # 44
                        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: B


                        NEW QUESTION # 45
                        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 # 46
                        Your organization plans to move their on-premises environment to Google Cloud. Your organization's network bandwidth is less than 1 Gbps. You need to move over 500 ## of data to Cloud Storage securely, and only have a few days to move the dat a. What should you do?

                        Answer: C


                        NEW QUESTION # 47
                        Your retail company wants to analyze customer reviews to understand sentiment and identify areas for improvement. Your company has a large dataset of customer feedback text stored in BigQuery that includes diverse language patterns, emojis, and slang. You want to build a solution to classify customer sentiment from the feedback text. What should you do?

                        Answer: B


                        NEW QUESTION # 48
                        You are storing data in Cloud Storage for a machine learning project. The data is frequently accessed during the model training phase, minimally accessed after 30 days, and unlikely to be accessed after 90 days. You need to choose the appropriate storage class for the different stages of the project to minimize cost. What should you do?

                        Answer: D


                        NEW QUESTION # 49
                        ......

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