Summer Special 60% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: bestdeal

Free Google Cloud-Digital-Leader Practice Exam with Questions & Answers

Questions 1

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

Google Cloud-Digital-Leader Premium Access
Questions 2

Your client's IT environment has so far been on-premises. They run a mix of applications and data-bases on Linux and Windows. They want to move to Google Cloud in the easiest manner possi-ble. What are their best options?

Options:
A.

Compute Engine with VMs with either Linux or Windows OS.

B.

App Engine Standard

C.

Cloud Functions

D.

Cloud Run

Questions 3

What is a key difference between VMs and containers?

Options:
A.

Virtual Machines take less time to launch; containers take longer to launch.

B.

Virtual Machines can only run Linux; containers can run any operating system.

C.

Virtual Machines use a shared operating system and are therefore lighter; containers are heavier on resources.

D.

Each Virtual Machine in a machine has its own operating system; containers will share the same operating system.

Questions 4

Which of the following is/are core storage options available on the Google Cloud Platform?

Options:
A.

Cloud Storage and Cloud Data Store

B.

Cloud Spanner

C.

Cloud SQL and Google Big Table

D.

All of the above

Questions 5

A customer of yours has an SLA with their client that a particular service will respond within 4 sec-onds. The end client has reported that it feels slower. Your engineers do a trial at the client site and notice that there seems to be a delay for many of the requests. It's your team's responsibility to iden-tify the issue quickly within the strict timeline for fixes according to the contract, and then fix it. What should you do?

Options:
A.

Recommend a move to serverless technologies which will scale automatically on demand.

B.

Add logging statements at multiple points in the application, build it, and deploy it. Now new requests will give us information on latency in the logs.

C.

Check if the browsers used by the client are different from yours. If they are, that's most likely the issue. Ensure that everybody uses the latest version of the browser that you are also using.

D.

Use Cloud Trace to collect latency data and track how requests propagate and why there is a delay.

Questions 6

You are a cloud architect in a software solution provider company, one of the client that is a Na-tional Bank who wants to build an application that deals with transactions processing, and it needs a relational database with petabyte of scale data. Which of the following Google Cloud Services will you use?

Options:
A.

Cloud SQL

B.

Cloud Bigtable

C.

Cloud Spanner

D.

Google Cloud BigQuery

Questions 7

certain devices for cracks, rust, etc. Some of these issues are difficult to identify for a human and your company has seen increasing customer complaints - the customer has paid for an inspection and the field agent said there was no problem, but it later turned out there actually was. The team has come up with a proposal to engage AI to identify issues. On evaluating the existing system, it is seen that the mobile phone network connection is not good or consistent. What solution can work for them?

Options:
A.

Use AutoML Vision Edge models.

B.

Use the Rust programming language instead of Python to identify issues like rust.

C.

Use Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.

D.

Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.

Questions 8

You are a database manager working for a new product that will need millions of reading and writ-ing from the database, with zero downtime, key-value i.e. NoSQL features, no manual steps should be required to ensure consistency, repair data, synchronize writes and deletes, Which of the follow-ing database you choose?

Options:
A.

Cloud SQL

B.

Cloud BigTable

C.

Cloud Spanner

D.

Cloud Firestore

Questions 9

You are working in a company that provides different services to its customer. Now it also wants to offer some paid API services to its B2B customers for e.g. google provides google maps API, cloud vision API, and language translation API. You need to figure out the best solution for the service.

Options:
A.

Java Programming Spring Boot Framework for to solve the problem of APIs man-agement.

B.

Cloud Functions with Firestore and payment gateways integration development.

C.

Apigee API Management

D.

Frontend & Backend Development with NodeJs and angular etc.

Questions 10

You are running a data warehouse on BigQuery. A partner company is offering a recommendation engine based on the data in your data warehouse. The partner company is also running their applica-tion on Google Cloud. They manage the resources in their own project, but they need access to the BigQuery dataset in your project. You want to provide the partner company with access to the da-taset. What should you do?

Options:
A.

Ask the partner to create a Service Account in their project, and have them give the Service Account access to BigQuery in their project.

B.

Create a Service Account in your own project, and grant this Service Account ac-cess to BigQuery in your project.

C.

Create a Service Account in your own project, and ask the partner to grant this Service Account access to BigQuery in their project.

D.

Ask the partner to create a Service Account in their project, and grant their Service Account access to the BigQuery dataset in your project.