Associate Data Practitioner: ADP Exam
"Associate Data Practitioner", also known as ADP exam, is a Google Certification. With the complete collection of questions and answers, Pass4sureCert has assembled to take you through 66 Q&As to your ADP Exam preparation. In the ADP exam resources, you will cover every field and category in Google Cloud Certified Certification helping to ready you for your successful Google Certification.
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Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Management | 25% | - Storage and data organization
|
| Data Analysis and Presentation | 27% | - Data visualization
|
| Data Pipeline Orchestration | 18% | - Pipeline design and automation
|
| Data Preparation and Ingestion | 30% | - Data ingestion into Google Cloud services
|
Google Associate Data Practitioner Sample Questions:
Your company uses Looker to visualize and analyze sales dat
a. You need to create a dashboard that displays sales metrics, such as sales by region, product category, and time period. Each metric relies on its own set of attributes distributed across several tables. You need to provide users the ability to filter the data by specific sales representatives and view individual transactions. You want to follow the Google-recommended approach. What should you do?
- A. Use Looker's custom visualization capabilities to create a single visualization that displays all the sales metrics with filtering and drill-down functionality.
- B. Use BigQuery to create multiple materialized views, each focusing on a specific sales metric. Build the dashboard using these views.
- C. Create multiple Explores, each focusing on each sales metric. Link the Explores together in a dashboard using drill-down functionality.
- D. Create a single Explore with all sales metrics. Build the dashboard using this Explore.
Correct Answer: D 🗳️
You need to transfer approximately 300 TB of data from your company's on-premises data center to Cloud Storage. You have 100 Mbps internet bandwidth, and the transfer needs to be completed as quickly as possible. What should you do?
- A. Use the gcloud storage command to transfer the data over the internet.
- B. Compress the data, upload it to multiple cloud storage providers, and then transfer the data to CloudStorage.
- C. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google.
- D. Use Cloud Client Libraries to transfer the data over the internet.
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. 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.
- B. Connect to Google Cloud using VPN. 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. Connect to Google Cloud using Dedicated Interconnect. Use the gcloud storage command to move the data to Cloud Storage.
Correct Answer: A 🗳️
Your organization has several datasets in BigQuery. The datasets need to be shared with your external partners so that they can run SQL queries without needing to copy the data to their own projects. You have organized each partner's data in its own BigQuery dataset. Each partner should be able to access only their dat a. You want to share the data while following Google-recommended practices. What should you do?
- A. Export the BigQuery data to a Cloud Storage bucket. Grant the partners the storage.objectUser IAM role on the bucket.
- B. Grant the partners the bigquery.user IAM role on the BigQuery project.
- C. Create a Dataflow job that reads from each BigQuery dataset and pushes the data into a dedicated Pub /Sub topic for each partner. Grant each partner the pubsub. subscriber IAM role.
- D. Use Analytics Hub to create a listing on a private data exchange for each partner dataset. Allow each partner to subscribe to their respective listings.
Correct Answer: D 🗳️
You have a BigQuery dataset containing sales dat
a. This data is actively queried for the first 6 months. After that, the data is not queried but needs to be retained for 3 years for compliance reasons. You need to implement a data management strategy that meets access and compliance requirements, while keeping cost and administrative overhead to a minimum. What should you do?
- A. Store all data in a single BigQuery table without partitioning or lifecycle policies.
- B. Use BigQuery long-term storage for the entire dataset. Set up a Cloud Run function to delete the data from BigQuery after 3 years.
- C. Partition a BigQuery table by month. After 6 months, export the data to Coldline storage. Implement a lifecycle policy to delete the data from Cloud Storage after 3 years.
- D. Set up a scheduled query to export the data to Cloud Storage after 6 months. Write a stored procedure to delete the data from BigQuery after 3 years.
Correct Answer: C 🗳️
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