Exam ADP Practice | ADP Exam Flashcards

The ADP certification is the way to go in the modern Google era. Success in the Associate Data Practitioner exam of this certification plays an essential role in an individual's future growth. Nowadays, almost every tech aspirant is taking the test to get ADP certification and find well-paying jobs or promotions. But the main issue that most of the candidates face is not finding updated Google ADP Practice Questions to prepare successfully for the Google ADP certification exam in a short time.

Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 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. Cloud Storage lifecycle policies
              • 2. BigQuery datasets and tables management
                - Data governance and security
                • 1. IAM and access control
                  • 2. Data lifecycle management
                    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 (Q15-Q20):

                        NEW QUESTION # 15
                        You work for a healthcare company. You have a daily ETL pipeline that extracts patient data from a legacy system, transforms it, and loads it into BigQuery for analysis. The pipeline currently runs manually using a shell script. You want to automate this process and add monitoring to ensure pipeline observability and troubleshooting insights. You want one centralized solution, using open-source tooling, without rewriting the ETL code. What should you do?

                        Answer: D


                        NEW QUESTION # 16
                        Your company is migrating their batch transformation pipelines to Google Cloud. You need to choose a solution that supports programmatic transformations using only SQL. You also want the technology to support Git integration for version control of your pipelines. What should you do?

                        Answer: B


                        NEW QUESTION # 17
                        Your organization needs to store historical customer order dat
                        a. The data will only be accessed once a month for analysis and must be readily available within a few seconds when it is accessed. You need to choose a storage class that minimizes storage costs while ensuring that the data can be retrieved quickly. What should you do?

                        Answer: A


                        NEW QUESTION # 18
                        You have a Dataproc cluster that performs batch processing on data stored in Cloud Storage. You need to schedule a daily Spark job to generate a report that will be emailed to stakeholders. You need a fully-managed solution that is easy to implement and minimizes complexity. What should you do?

                        Answer: C


                        NEW QUESTION # 19
                        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 # 20
                        ......

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