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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. Cloud Storage ingestion patterns
          • 2. Streaming ingestion with Pub/Sub concepts
            Topic 3: Data Pipeline Orchestration18%- Pipeline design and automation
            • 1. Workflow orchestration concepts (e.g., Cloud Composer)
              • 2. Dataflow pipelines
                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 ADP Reliable Test Tutorial | ADP Detailed Study Plan

                        Associate Data Practitioner (ADP) certification exams are a great way to analyze and evaluate the skills of a candidate effectively. Big companies are always on the lookout for capable candidates. You need to pass the Associate Data Practitioner (ADP) certification exam to become a certified professional. This task is considerably tough for unprepared candidates however with the right ADP prep material there remains no chance of failure.

                        Google Associate Data Practitioner Sample Questions (Q17-Q22):

                        NEW QUESTION # 17
                        You created a curated dataset of market trends in BigQuery that you want to share with multiple external partners. You want to control the rows and columns that each partner has access to. You want to follow Google-recommended practices. What should you do?

                        Answer: D


                        NEW QUESTION # 18
                        Your team is building several data pipelines that contain a collection of complex tasks and dependencies that you want to execute on a schedule, in a specific order. The tasks and dependencies consist of files in Cloud Storage, Apache Spark jobs, and data in BigQuery. You need to design a system that can schedule and automate these data processing tasks using a fully managed approach. What should you do?

                        Answer: C


                        NEW QUESTION # 19
                        Your organization has several datasets in their data warehouse in BigQuery. Several analyst teams in different departments use the datasets to run queries. Your organization is concerned about the variability of their monthly BigQuery costs. You need to identify a solution that creates a fixed budget for costs associated with the queries run by each department. What should you do?

                        Answer: C


                        NEW QUESTION # 20
                        You recently inherited a task for managing Dataflow streaming pipelines in your organization and noticed that proper access had not been provisioned to you. You need to request a Google-provided IAM role so you can restart the pipelines. You need to follow the principle of least privilege. What should you do?

                        Answer: D


                        NEW QUESTION # 21
                        Your company has an on-premises file server with 5 TB of data that needs to be migrated to Google Cloud.
                        The network operations team has mandated that you can only use up to 250 Mbps of the total available bandwidth for the migration. You need to perform an online migration to Cloud Storage. What should you do?

                        Answer: B


                        NEW QUESTION # 22
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