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Google ADP Exam Syllabus Topics:

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

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                        Google Associate Data Practitioner Sample Questions (Q42-Q47):

                        NEW QUESTION # 42
                        You need to transfer approximately 300 TB of data from your company's on-premises data center to Cloud Storage. You have 100 Mbps internet bandwidth, and the transfer needs to be completed as quickly as possible. What should you do?

                        Answer: A


                        NEW QUESTION # 43
                        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: A


                        NEW QUESTION # 44
                        Your organization has a BigQuery dataset that contains sensitive employee information such as salaries and performance reviews. The payroll specialist in the HR department needs to have continuous access to aggregated performance data, but they do not need continuous access to other sensitive dat a. You need to grant the payroll specialist access to the performance data without granting them access to the entire dataset using the simplest and most secure approach. What should you do?

                        Answer: A


                        NEW QUESTION # 45
                        You are working on a project that requires analyzing daily social media dat a. You have 100 GB of JSON formatted data stored in Cloud Storage that keeps growing.
                        You need to transform and load this data into BigQuery for analysis. You want to follow the Google-recommended approach. What should you do?

                        Answer: A


                        NEW QUESTION # 46
                        You are developing a data ingestion pipeline to load small CSV files into BigQuery from Cloud Storage. You want to load these files upon arrival to minimize data latency. You want to accomplish this with minimal cost and maintenance. What should you do?

                        Answer: A


                        NEW QUESTION # 47
                        ......

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