ADP Valid Exam Review, ADP Sample Questions Answers

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Google ADP Exam Syllabus Topics:

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

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                        ADP Sample Questions Answers & ADP Valid Test Cram

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                        Google Associate Data Practitioner Sample Questions (Q29-Q34):

                        NEW QUESTION # 29
                        You are working with a large dataset of customer reviews stored in Cloud Storage. The dataset contains several inconsistencies, such as missing values, incorrect data types, and duplicate entries. You need toclean the data to ensure that it is accurate and consistent before using it for analysis. What should you do?

                        Answer: B


                        NEW QUESTION # 30
                        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: B


                        NEW QUESTION # 31
                        Your organization has decided to move their on-premises Apache Spark-based workload to Google Cloud.
                        You want to be able to manage the code without needing to provision and manage your own cluster. What should you do?

                        Answer: A


                        NEW QUESTION # 32
                        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: C


                        NEW QUESTION # 33
                        You need to create a data pipeline that streams event information from applications in multiple Google Cloud regions into BigQuery for near real-time analysis. The data requires transformation before loading. You want to create the pipeline using a visual interface. What should you do?

                        Answer: A


                        NEW QUESTION # 34
                        ......

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