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Question 45/47
Your data science team needs to collaboratively analyze a 25 TB BigQuery dataset to support the development of a machine learning model. You want to use Colab Enterprise notebooks while ensuring efficient data access and minimizing cost. What should you do?
Correct Answer: B
Comprehensive and Detailed In-Depth Explanation:
For a 25 TB dataset, efficiency and cost require minimizing data movement and leveraging BigQuery's scalability within Colab Enterprise.
* Option A: Exporting 25 TB to Google Drive and loading via Pandas is impractical (size limits, transfer costs) and slow.
* Option B: BigQuery magic commands (%%bigquery) in Colab Enterprise allow direct querying of BigQuery data, keeping processing in the cloud, reducing costs, and enabling collaboration.
* Option C: Dataproc with Spark adds cluster costs and complexity, unnecessary when BigQuery can handle the workload.
For a 25 TB dataset, efficiency and cost require minimizing data movement and leveraging BigQuery's scalability within Colab Enterprise.
* Option A: Exporting 25 TB to Google Drive and loading via Pandas is impractical (size limits, transfer costs) and slow.
* Option B: BigQuery magic commands (%%bigquery) in Colab Enterprise allow direct querying of BigQuery data, keeping processing in the cloud, reducing costs, and enabling collaboration.
* Option C: Dataproc with Spark adds cluster costs and complexity, unnecessary when BigQuery can handle the workload.
- Question List (47q)
- Question 1: You are working with a small dataset in Cloud Storage that n...
- Question 2: You are working with a large dataset of customer reviews sto...
- Question 3: Your retail company wants to predict customer churn using hi...
- Question 4: You work for an ecommerce company that has a BigQuery datase...
- Question 5: Your company uses Looker to generate and share reports with ...
- Question 6: Your team wants to create a monthly report to analyze invent...
- Question 7: You have a Cloud SQL for PostgreSQL database that stores sen...
- Question 8: You need to create a new data pipeline. You want a serverles...
- Question 9: You work for a healthcare company. You have a daily ETL pipe...
- Question 10: You are developing a data ingestion pipeline to load small C...
- Question 11: Your organization has decided to migrate their existing ente...
- Question 12: You work for a retail company that collects customer data fr...
- Question 13: You are designing a pipeline to process data files that arri...
- Question 14: You are building a batch data pipeline to process 100 GB of ...
- Question 15: You are working on a data pipeline that will validate and cl...
- Question 16: Your organization stores highly personal data in BigQuery an...
- Question 17: You have an existing weekly Storage Transfer Service transfe...
- Question 18: Your organization uses Dataflow pipelines to process real-ti...
- Question 19: Your company is building a near real-time streaming pipeline...
- Question 20: You have a BigQuery dataset containing sales data. This data...
- Question 21: You need to create a data pipeline that streams event inform...
- Question 22: Your retail company collects customer data from various sour...
- Question 23: You work for a global financial services company that trades...
- Question 24: You are designing an application that will interact with sev...
- Question 25: Your organization uses scheduled queries to perform transfor...
- Question 26: Your organization needs to store historical customer order d...
- Question 27: Your organization consists of two hundred employees on five ...
- Question 28: Your organization plans to move their on-premises environmen...
- Question 29: Your team needs to analyze large datasets stored in BigQuery...
- Question 30: Your company's ecommerce website collects product reviews fr...
- Question 31: Your retail company wants to analyze customer reviews to und...
- Question 32: Your organization needs to implement near real-time analytic...
- Question 33: You have millions of customer feedback records stored in Big...
- Question 34: Your organization is building a new application on Google Cl...
- Question 35: Your team is building several data pipelines that contain a ...
- Question 36: Your organization has decided to move their on-premises Apac...
- Question 37: Your company has several retail locations. Your company trac...
- Question 38: You are a database administrator managing sales transaction ...
- Question 39: Your company uses Looker to visualize and analyze sales data...
- Question 40: Your organization has highly sensitive data that gets update...
- Question 41: Your retail company wants to predict customer churn using hi...
- Question 42: You have created a LookML model and dashboard that shows dai...
- Question 43: You need to design a data pipeline to process large volumes ...
- Question 44: Your organization is conducting analysis on regional sales m...
- Question 45: Your data science team needs to collaboratively analyze a 25...
- Question 46: Your company is setting up an enterprise business intelligen...
- Question 47: You manage a large amount of data in Cloud Storage, includin...
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