- Exam Code: ADP
- Exam Name: Associate Data Practitioner
- Certification Provider: Google
- Corresponding Certification:Google Cloud Certified
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Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Visualization and Insights | 20-30% | - Build visualizations using Looker Studio - Create dashboards and reports - Interpret and communicate findings - Choose appropriate visualization types - Present data insights to stakeholders |
| Data-Driven Decision Making | 10-20% | - Translate business requirements into data solutions - Identify stakeholders and requirements - Assess data quality and completeness - Define success metrics |
| Data Processing and Analytics | 20-30% | - Aggregate and summarize data - Apply statistical methods for analysis - Use BigQuery and SQL for analytics - Build and maintain data pipelines - Query and analyze datasets |
| Data Preparation and Exploration | 20-30% | - Transform and prepare data for analysis - Explore data through visualization and queries - Perform exploratory data analysis (EDA) - Ingest and acquire data - Identify data quality issues |
Google Associate Data Practitioner Sample Questions:
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?
- A. Use a Pub/Sub push subscription, write a Cloud Run service that accepts the messages, performs the transformations, and writes the results to BigQuery.
- B. Use a Pub/Sub to Cloud Storage subscription, write a Cloud Run service that is triggered when objects arrive in the bucket, performs the transformations, and writes the results to BigQuery.
- C. Use a Pub/Sub to BigQuery subscription, write results directly to BigQuery, and schedule a transformation query to run every five minutes.
- D. Use the "Pub/Sub to BigQuery" Dataflow template with a UDF, and write the results to BigQuery.
Correct Answer: D 🗳️
You have a Dataflow pipeline that processes website traffic logs stored in Cloud Storage and writes the processed data to BigQuery. You noticed that the pipeline is failing intermittently. You need to troubleshoot the issue. What should you do?
- A. Use Cloud Logging to view error messages in the pipeline's logs. Use Cloud Monitoring to analyze the pipeline's metrics, such as CPU utilization and memory usage.
- B. Use Cloud Logging to create a chart displaying the pipeline's error logs. Use Metrics Explorer to validate the findings from the chart.
- C. Use the Dataflow job monitoring interface to check the pipeline's status every hour. Use Cloud Profiler to analyze the pipeline's metrics, such as CPU utilization and memory usage.
- D. Use Cloud Logging to identify error groups in the pipeline's logs. Use Cloud Monitoring to create a dashboard that tracks the number of errors in each group.
Correct Answer: A 🗳️
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?
- A. Request the Dataflow Developer role.
- B. Request the Dataflow Worker role.
- C. Request the Dataflow Viewer role.
- D. Request the Dataflow Admin role.
Correct Answer: A 🗳️
Your organization is building a new application on Google Cloud. Several data files will need to be stored in Cloud Storage. Your organization has approved only two specific cloud regions where these data files can reside. You need to determine a Cloud Storage bucket strategy that includes automated high availability.
What should you do?
- A. Create a dual-region bucket, and upload the files to this bucket.
- B. Create a single-region bucket in each of the two regions, and use Storage Transfer Service to replicate the data across the buckets in both regions.
- C. Create a multi-region bucket, and upload the files to this bucket.
- D. Create a single-region bucket in each of the two regions, and use the gcloud storage command to replicate the data across the buckets in both regions.
Correct Answer: A 🗳️
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?
- A. ETL
- B. ETLT
- C. EL
- D. ELT
Correct Answer: A 🗳️
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