ADP Training Pdf | ADP Test Practice

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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Analysis and Presentation27%- Data visualization
  • 1. Looker / Looker Studio reporting
    - Querying and analyzing data
    • 1. Data aggregation and transformation
      • 2. BigQuery SQL usage
        Topic 2: Data Preparation and Ingestion30%- Data ingestion into Google Cloud services
        • 1. Streaming ingestion with Pub/Sub concepts
          • 2. Cloud Storage ingestion patterns
            Topic 3: Data Management25%- Storage and data organization
            • 1. BigQuery datasets and tables management
              • 2. Cloud Storage lifecycle policies
                - Data governance and security
                • 1. Data lifecycle management
                  • 2. IAM and access control
                    Topic 4: 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 (Q58-Q63):

                        NEW QUESTION # 58
                        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 # 59
                        Your company is building a near real-time streaming pipeline to process JSON telemetry data from small appliances. You need to process messages arriving at a Pub/Sub topic, capitalize letters in the serial number field, and write results to BigQuery. You want to use a managed service and write a minimal amount of code for underlying transformations. What should you do?

                        Answer: A


                        NEW QUESTION # 60
                        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: B


                        NEW QUESTION # 61
                        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: D


                        NEW QUESTION # 62
                        You need to design a data pipeline that ingests data from CSV, Avro, and Parquet files into Cloud Storage.
                        The data includes raw user input. You need to remove all malicious SQL injections before storing the data in BigQuery. Which data manipulation methodology should you choose?

                        Answer: B


                        NEW QUESTION # 63
                        ......

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