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Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Pipeline Orchestration | 18% | - Pipeline design and automation
|
| Data Preparation and Ingestion | 30% | - Data ingestion into Google Cloud services
|
| Data Management | 25% | - Data governance and security
|
| Data Analysis and Presentation | 27% | - Querying and analyzing data
|
Google Associate Data Practitioner Sample Questions:
You are developing a data ingestion pipeline to load small CSV files into BigQuery from Cloud Storage. You want to load these files upon arrival to minimize data latency. You want to accomplish this with minimal cost and maintenance. What should you do?
- A. Create a Cloud Composer pipeline to load new files from Cloud Storage to BigQuery and schedule it to run every 10 minutes.
- B. Use the bq command-line tool within a Cloud Shell instance to load the data into BigQuery.
- C. Create a Cloud Run function to load the data into BigQuery that is triggered when data arrives in Cloud Storage.
- D. Create a Dataproc cluster to pull CSV files from Cloud Storage, process them using Spark, and write the results to BigQuery.
Correct Answer: C 🗳️
You manage data at an ecommerce company. You have a Dataflow pipeline that processes order data from Pub/Sub, enriches the data with product information from Bigtable, and writes the processed data to BigQuery for analysis. The pipeline runs continuously and processes thousands of orders every minute. You need to monitor the pipeline's performance and be alerted if errors occur. What should you do?
- A. Use the Dataflow job monitoring interface to visually inspect the pipeline graph, check for errors, and configure notifications when critical errors occur.
- B. Use BigQuery to analyze the processed data in Cloud Storage and identify anomalies or inconsistencies. Set up scheduled alerts based when anomalies or inconsistencies occur.
- C. Use Cloud Monitoring to track key metrics. Create alerting policies in Cloud Monitoring to trigger notifications when metrics exceed thresholds or when errors occur.
- D. Use Cloud Logging to view the pipeline logs and check for errors. Set up alerts based on specific keywords in the logs.
Correct Answer: C 🗳️
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. Develop a batch process using Dataflow that runs weekly and deletes files based on their age.
- B. Set up a Cloud Scheduler job that invokes a weekly Cloud Run function to delete files older than seven days.
- C. Configure a Cloud Storage lifecycle rule that automatically deletes objects older than seven days.
- D. Create a Cloud Run function that runs daily and deletes files older than seven days.
Correct Answer: C 🗳️
Your organization plans to move their on-premises environment to Google Cloud. Your organization's network bandwidth is less than 1 Gbps. You need to move over 500 ## of data to Cloud Storage securely, and only have a few days to move the dat a. What should you do?
- A. Connect to Google Cloud using VPN. Use the gcloud storage command to move the data to Cloud Storage.
- B. Connect to Google Cloud using Dedicated Interconnect. Use the gcloud storage command to move the data to Cloud Storage.
- C. Connect to Google Cloud using VPN. Use Storage Transfer Service to move the data to Cloud Storage.
- D. Request multiple Transfer Appliances, copy the data to the appliances, and ship the appliances back to Google Cloud to upload the data to Cloud Storage.
Correct Answer: D 🗳️
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?
- A. Assign each analyst to a separate project associated with their department. Create a single reservation by using BigQuery editions. Assign all projects to the reservation.
- B. Create a custom quota for each analyst in BigQuery.
- C. Create a single reservation by using BigQuery editions. Assign all analysts to the reservation.
- D. Assign each analyst to a separate project associated with their department. Create a single reservation for each department by using BigQuery editions. Create assignments for each project in the appropriate reservation.
Correct Answer: D 🗳️
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