Google passguide google Cloud Platform Associate-data-practitioner Passing Score by Ovie q7 vce pdf

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Exam Name:	Google Cloud Associate Data Practitioner ( ADP Exam )
Exam Code:	Associate-Data-Practitioner Dumps
Vendor:	Google	Certification:	Google Cloud Platform
Questions:	72 Q&A's	Shared By:	ovie

Question 16

You work for an ecommerce company that has a BigQuery dataset that contains customer purchase history, demographics, and website interactions. You need to build a machine learning (ML) model to predict which customers are most likely to make a purchase in the next month. You have limited engineering resources and need to minimize the ML expertise required for the solution. What should you do?

Options:

Use BigQuery ML to create a logistic regression model for purchase prediction.

Use Vertex AI Workbench to develop a custom model for purchase prediction.

Use Colab Enterprise to develop a custom model for purchase prediction.

Export the data to Cloud Storage, and use AutoML Tables to build a classification model for purchase prediction.

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Question 17

Your company uses Looker as its primary business intelligence platform. You want to use LookML to visualize the profit margin for each of your company’s products in your Looker Explores and dashboards. You need to implement a solution quickly and efficiently. What should you do?

Options:

Create a derived table that pre-calculates the profit margin for each product, and include it in the Looker model.

Define a new measure that calculates the profit margin by using the existing revenue and cost fields.

Create a new dimension that categorizes products based on their profit margin ranges (e.g., high, medium, low).

Apply a filter to only show products with a positive profit margin.

Discussion

Question 18

You are using your own data to demonstrate the capabilities of BigQuery to your organization’s leadership team. You need to perform a one- time load of the files stored on your local machine into BigQuery using as little effort as possible. What should you do?

Options:

Write and execute a Python script using the BigQuery Storage Write API library.

Create a Dataproc cluster, copy the files to Cloud Storage, and write an Apache Spark job using the spark-bigquery-connector.

Execute the bq load command on your local machine.

Create a Dataflow job using the Apache Beam FileIO and BigQueryIO connectors with a local runner.

Discussion

Question 19

You work for a financial services company that handles highly sensitive data. Due to regulatory requirements, your company is required to have complete and manual control of data encryption. Which type of keys should you recommend to use for data storage?

Options:

Use customer-supplied encryption keys (CSEK).

Use a dedicated third-party key management system (KMS) chosen by the company.

Use Google-managed encryption keys (GMEK).

Use customer-managed encryption keys (CMEK).