Google udemy selected Cloud-digital-leader Google Cloud Certified Questions Answers by Arden q304 vce pdf

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Exam Name:	Google Cloud Digital Leader exam
Exam Code:	Cloud-Digital-Leader Dumps
Vendor:	Google	Certification:	Google Cloud Certified
Questions:	371 Q&A's	Shared By:	arden

Question 56

Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?

Options:

BigQuery ML

TensorFlow

AutoML Tables

Cloud Bigtable ML

Discussion

Question 57

You are leading projects in an IT services company. Your customer's project requires analyzing im-ages. They have many 10s of 1000s of raw images that they have made available to you. Your small technology team needs to build a machine learning model. The images are unlabeled. You don't have the people or the capacity to label the images. What is your approach?

Options:

Look for open-source labeled images that closely resemble the given images.

Request data labeling service from Google.

Tell the customer it is their duty to label the images.

Hire temporary workers who can quickly label the images.

Discussion

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Question 58

Your organization recently migrated its compute workloads to Google Cloud. You want these workloads in Google Cloud to privately and securely access your large volume of on-premises data, and you also want to minimize latency.

What should your organization do?

Options:

Use Storage Transfer Service to securely make your data available to Google Cloud

Create a VPC between your on-premises data center and your Google resources

Peer your on-premises data center to Google’s Edge Network

Use Transfer Appliance to securely make your data available to Google Cloud

Discussion

Question 59

Your team is working on building a machine learning model. There are a bunch of terminologies that are being used. What is an "instance" or an "example"?

Options:

An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.

One row of a dataset containing one or more input columns and possibly a prediction result.

An answer for a prediction task,¬ either the answer produced by a machine learning system or the right answer supplied in training data. E.g. image contains a "cat".

The "knobs" that you tweak during successive runs of training a model. E.g. learning rate