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Google Cloud Certified Cloud-Digital-Leader Google Study Notes

Google Cloud Digital Leader exam Questions and Answers

Question 89

A customer in the European Union region is very clear that their data should not go outside the Eu-ropean Union. Their end users are spread all over the European U. They have to choose a storage option that serves all the users within Asia via web browsers as quickly as possible. Which storage option will work for them?

Options:

A.

Cloud Storage with a single region that is known to be within the European U

B.

Cloud Filestore is connected to virtual machines which are guaranteed to be within the European U

C.

Cloud Storage with the multi-region option of European U

D.

Cloud Storage with the dual-region option of European U

Question 90

Your customer has a reporting tool that is only occasionally used by the leadership team. Usage of it is frequent - once a week, once a month, or once the quarter. They want to run this application in a cost-effective manner. What are the compute options available on Google Cloud which would be suitable? (Choose Two answer)

Options:

A.

Cloud Run

B.

Cloud App Engine Standard

C.

Compute Engine

D.

Kubernetes Engine

Question 91

Which of the following are the current options for paid support in GCP? (Select Three An-swer)

Options:

A.

Premier

B.

Standard

C.

Enhanced

D.

Role

E.

Premium

Question 92

One of your clients is in the retail sector. They have a small team supporting their operations and a small development team taking care of application development. They have heard of the benefits of machine learning, but they do not have the capacity to hire data scientists or the work to retain them. They have a team of analysts who works primarily on BigQuery and knows how to run SQL queries. They want to be able to get into the new age of machine learning and artificial intelligence. What options are available to run on Google Cloud?

Options:

A.

Use the popular open-source libraries SciPy and NumPy to create machine learn-ing models.

B.

Use the Unified AI Platform to create a custom TensorFlow model.

C.

Use BigQuery ML to create machine learning models using SQL queries.

D.

Integrate the Cloud Vision API and the Cloud Speech API to create a custom mod-el that will suit the retail sector.