Weekend Sale Special - Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: top65certs

Cloud-Digital-Leader Questions Bank

Google Cloud Digital Leader exam Questions and Answers

Question 65

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

Question 66

You have a well established development and operations team. Your teams were managing the en-tire software delivery/deployment cycle on-premise. When migrating to the cloud, you want to con-tinue having this approach. Which is the ideal option for you?

Options:

A.

PaaS - Platform as a Service

B.

SaaS - Software as a Service

C.

IDaaS - Identity as a Service

D.

IaaS - Infrastructure as a Service

Question 67

Considering Different Storage and database options e.g. Cloud Datastore, Cloud SQL, Cloud Stor-age, etc. Which of the following statements is/are correct? ( Select two answer)

Options:

A.

Cloud DataStore and Cloud SQL have Terabytes + and Terabytes Capacity respec-tively.

B.

Cloud Bigtable and Cloud Storage both have Petabytes + capacity.

C.

Cloud Bigtable and Cloud Storage both have not Petabytes + capacity.

D.

None of the above.

Question 68

You are discussing scaling requirements with a gaming company. When the game launches, they are expecting incoming data surges of 2 million users or more during weekends and holidays. Their on-premise systems have had issues scaling and they want your advice on solving the issue. What do you recommend?

Options:

A.

Either Compute Engine VMs or Kubernetes nodes work, but it is better to keep a buffer of an extra 2 million users.

B.

We can deploy a Pub/Sub to ingest data which will grow to absorb demand and pass it on to other stages.

C.

We will allocate Compute Engine VMs estimating 80% capacity of 2 million users.

D.

We will allocate Kubernetes nodes estimating 80% capacity of 2 million users.