Summer Sale Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: ecus65

Google Cloud-Digital-Leader - Google Cloud Digital Leader exam

Page: 4 / 13
Total 414 questions

You are a program manager within a Software as a Service (SaaS) company that offers rendering software for animation studios. Your team needs the ability to allow scenes to be scheduled at will and to be interrupted at any time to restart later. Any individual scene rendering takes less than 12 hours to complete, and there is no service-level agreement (SLA) for the completion time for all scenes. Results will be stored in a global Cloud Storage bucket. The compute resources are not bound to any single geographical location. This software needs to run on Google Cloud in a cost-optimized way.

What should you do?

A.

Deploy the application on Compute Engine using preemptible instances

B.

Develop the application so it can run in an unmanaged instance group

C.

Create a reservation for the minimum number of Compute Engine instances you will use

D.

Start more instances with fewer virtual centralized processing units (vCPUs) instead of fewer instances with more vCPUs

Your company provides car maintenance services. It is conducting an internal hackathon to identify new ideas that could expand their business. The teams have pitched different ideas and have started working on it. They have to present their application to the judges within 48 hours. A presentation alone is not enough; they have to demonstrate a working proof of concept. The team that you are mentoring is going to recommend additional ser-vices to drive in customers based on the brand of car they drive in. They need to be able to identify what brand of car the customer has, based on a photograph automatically taken at entry. They have already discovered an open source database of car images collected by online enthusiasts. How should they implement this solution?

A.

Use Deep Learning Containers that are preconfigured and optimized containers for deep learning environments.

B.

Use AutoML Image - upload the images and let it create a working model for you.

C.

Use TensorFlow to create a model that will identify the car brands; use the available data to train the model.

D.

Use Cloud Vision AI that is able to detect logos. Write only the code to integrate in-to your workflow.

Your organization needs to restrict access to a Cloud Storage bucket. Only employees who are based in Canada should be allowed to view the contents.

What is the most effective and efficient way to satisfy this requirement?

A.

Deploy the Cloud Storage bucket to a Google Cloud region in Canada

B.

Configure Google Cloud Armor to allow access to the bucket only from IP addresses based in Canada

C.

Give each employee who is based in Canada access to the bucket

D.

Create a group consisting of all Canada-based employees, and give the group access to the bucket

Your company has multiple internal applications used by your employees. You also have to give access to certain vendors and contractors. What is a good option for you to adopt?

A.

Keep the credentials separate for each application to reduce the blast radius in case of any issues.

B.

Use an external identity provider that is famous and popular like Facebook or Twitter; that way, even your vendors and contractors will have an account there.

C.

Allow all users, especially contractors and vendors, to bring their own identities, like those at gmail.com.

D.

Use an IDaaS (Identity as a Service) product that can centrally manage authenti-cation and authorization for the applications.

An IoT platform is providing services to home security systems. They have more than a million customers, each with many home devices. Burglaries or child safety issues are concerns that the clients customers. Therefore, the platform has to respond very quickly in near real time. What could be a typical data pipeline used to support this platform on Google Cloud?

A.

Cloud Pub/Sub, Cloud Dataflow, Data Studio

B.

Cloud Functions, Cloud Dataproc, Looker

C.

Cloud Pub/Sub, Cloud Dataflow, BigQuery

D.

Cloud Functions, Cloud Dataproc, BigQuery

What are the network requirements for Private Google Access?

A.

Private Google Access automatically enables any API.

B.

Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.

C.

Both A and B

D.

None of the Above

Your ed-tech start-up was originally launched in a small geography. Any user sign-ups, course progress, tests taken, etc. are captured on a self-managed MySQL database. Every user generates many such transactions. Now you're taking the application globally and preparing for a much larger influx of users from all over the world. The existing MySQL server is unlikely to be able to scale. Which convenient option can be considered?

A.

Migrate to BigQuery

B.

Migrate to Cloud Spanner

C.

Migrate to Cloud SQL

D.

Migrate to Bigtable

Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.

Which Google Cloud product or feature should your organization choose?

A.

BigQuery ML

B.

LookML

C.

TensorFlow

D.

Cloud SQL

Your company’s development team is building an application that will be deployed on Cloud Run. You are designing a CI/CD pipeline so that any new version of the application can be deployed in the fewest number of steps possible using the CI/CD pipeline you are designing. You need to select a storage location for the images of the application after the CI part of your pipeline has built them.

What should you do?

A.

Create a Compute Engine image containing the application

B.

Store the images in Container Registry

C.

Store the images in Cloud Storage

D.

Create a Compute Engine disk containing the application

A multinational retail company has approached you to help design its systems. They have millions of transactions at their point of sale systems across the world that need to be captured, stored, and analyzed. They are seeing more growth and expect to expand into even more geographies. Which database would be appropriate for them?

A.

Cloud Datastore

B.

Cloud Storage

C.

Cloud Spanner

D.

Cloud SQL