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Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Preparation and Exploration | 20-30% | - Ingest and acquire data - Perform exploratory data analysis (EDA) - Transform and prepare data for analysis - Identify data quality issues - Explore data through visualization and queries |
| Data Processing and Analytics | 20-30% | - Aggregate and summarize data - Build and maintain data pipelines - Apply statistical methods for analysis - Use BigQuery and SQL for analytics - Query and analyze datasets |
| Data Visualization and Insights | 20-30% | - Interpret and communicate findings - Build visualizations using Looker Studio - Choose appropriate visualization types - Present data insights to stakeholders - Create dashboards and reports |
| Data-Driven Decision Making | 10-20% | - Assess data quality and completeness - Define success metrics - Identify stakeholders and requirements - Translate business requirements into data solutions |
Google Associate Data Practitioner Sample Questions:
Your organization has decided to migrate their existing enterprise data warehouse to BigQuery. The existing data pipeline tools already support connectors to BigQuery. You need to identify a data migration approach that optimizes migration speed. What should you do?
- A. Use the existing data pipeline tool's BigQuery connector to reconfigure the data mapping.
- B. Use the BigQuery Data Transfer Service to recreate the data pipeline and migrate the data into BigQuery.
- C. Create a temporary file system to facilitate data transfer from the existing environment to Cloud Storage. Use Storage Transfer Service to migrate the data into BigQuery.
- D. Use the Cloud Data Fusion web interface to build data pipelines. Create a directed acyclic graph (DAG) that facilitates pipeline orchestration.
Correct Answer: A 🗳️
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 identify error groups in the pipeline's logs. Use Cloud Monitoring to create a dashboard that tracks the number of errors in each group.
- 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 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.
- D. 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.
Correct Answer: C 🗳️
Your organization uses a BigQuery table that is partitioned by ingestion time. You need to remove data that is older than one year to reduce your organization's storage costs. You want to use the most efficient approach while minimizing cost. What should you do?
- A. Create a view that filters out rows that are older than one year.
- B. Require users to specify a partition filter using the alter table statement in SQL.
- C. Create a scheduled query that periodically runs an update statement in SQL that sets the "deleted" column to "yes" for data that is more than one year old. Create a view that filters out rows that have been marked deleted.
- D. Set the table partition expiration period to one year using the ALTER TABLE statement in SQL.
Correct Answer: D 🗳️
You manage a Cloud Storage bucket that stores temporary files created during data processing. These temporary files are only needed for seven days, after which they are no longer needed. To reduce storage costs and keep your bucket organized, you want to automatically delete these files once they are older than seven days. What should you do?
- A. Configure a Cloud Storage lifecycle rule that automatically deletes objects older than seven days.
- B. Create a Cloud Run function that runs daily and deletes files older than seven days.
- C. Develop a batch process using Dataflow that runs weekly and deletes files based on their age.
- D. Set up a Cloud Scheduler job that invokes a weekly Cloud Run function to delete files older than seven days.
Correct Answer: A 🗳️
You created a customer support application that sends several forms of data to Google Cloud. Your application is sending:
1. Audio files from phone interactions with support agents that will be accessed during trainings.
2. CSV files of users' personally identifiable information (PII) that will be analyzed with SQL.
3. A large volume of small document files that will power other applications.
You need to select the appropriate tool for each data type given the required use case, while following Google- recommended practices. Which should you choose?
- A. Filestore Bigtable BigQuery
- B. Filestore Cloud SQL for PostgreSQL Datastore
- C. Cloud Storage BigQuery Firestore
- D. Cloud Storage CloudSQL for PostgreSQL Bigtable
Correct Answer: C 🗳️
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