Updated Questions for Google Cloud-Digital-Leader Exam

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Google Cloud-Digital-Leader exam updated questions are available, which are the best preparation material for you to take the test. Most of our customers are interested in the Google Cloud-Digital-Leader exam. All the updated Google Cloud-Digital-Leader exam questions can help you test all the related topics. Free updated Google Cloud-Digital-Leader exam questions are below.

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1. Your organization is moving an application to Google Cloud. As part of that effort, it needs to migrate the application’s working database from another cloud provider to Cloud SQL. The database runs on the MySQL engine. The migration must cause minimal disruption to users. Data must be secured while in transit.

Which should your organization use?

BigQuery Data Transfer Service

MySQL batch insert

Database Migration Service

Cloud Composer

2. 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?

PaaS - Platform as a Service

SaaS - Software as a Service

IDaaS - Identity as a Service

IaaS - Infrastructure as a Service

3. What would provide near-unlimited availability of computing resources without requiring your organization to procure and provision new equipment?

Public cloud

Containers

Private cloud

Microservices

4. Which of these are defined by the following statement: a contract you have with your end custom-ers, which, if you don't meet, you might even have to pay fines?

SLA - Service Level Agreement

SLC - Service Level Contract

SLO - Service Level Objective

SLI - Service Level Indicator

5. A Multiple projects within your organization have long-term VM usage. Based on current demand, they are able to project into the future and estimate how many VM hours they will use every year. Going in for a committed use contract seems sensible .

How can you configure committed use easily across all the projects?

Enable committed use with discount sharing for the projects

Review the usage of resources by each project on a daily basis. Enable committed use for the following day based on that number, so that it gives maximum granularity without wastage.

Take a report of each project's use in the last year. Enable committed use on a per-project basis based on the previous year's numbers.

Share a Google Sheet and request each project team to send in their estimate. Enable committed use accordingly on a per-project basis.

6. Your customer's IT team is in the process of modernizing their customer-facing applications. They've witnessed others getting good results from employing microservices, and they're keen to adopt it themselves. The first application that they are modernizing has about 5 different sub-parts, which they have identified will be the services. They also identify that each of them has different scale requirements - some services like user login are less frequently used while others like transactions are heavily used .

What technical strategy would you recommend for them?

Containerize the services and orchestrate them with Google Kubernetes Engine.

Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.

Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.

Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.

7. Your customer is making a decision on whether to move to Google Cloud. Their key concern is about 10,000 VMs that are part of their IT infrastructure used across more than 110 applications. They are apprehensive of too many changes at this stage. They want to get to Google Cloud in the easiest way possible with minimal disruption .

What option would you recommend for them?

Use Migrate for Anthos

Lift and shift the VMs to serverless options like App Engine Flex.

Re-architect on-prem to use Kubernetes and then slowly extend and bridge the on-prem data center to the Google Cloud data center.

Use Migrate for Compute

8. An organization wants to search for and share plug-and-play AI components which can easily build ML services into their project .

Which Google Cloud product should the organization use?

Document AI

AI Hub

Cloud Talent Solution

Recommendations AI

9. What according to you are NOT the key capabilities of In-App Messaging?

Target messages accordingly to the change in the behavior pattern of the target audience.

Creating customized and flexible alerts

Increasing conversion for user-to-user sharing

Sending relevant messages to the target audience

10. 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?

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

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

Cloud Storage with the multi-region option of European U

Cloud Storage with the dual-region option of European U

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11. Which of the followings are core components of Anthos?

Infrastructure, container, and cluster management

Secure software supply chain

Multicluster & Configuration management

All of the above are correct.

12. 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?

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

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

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

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

13. What are the network requirements for Private Google Access?

Private Google Access automatically enables any AP

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

Both A and B

None of the Above

14. An organization with hybrid cloud architecture wants to build an application once and be able to run it both on-premises and in their public cloud .

Which Google Cloud solution should the organization use?

Cloud Functions

App Engine

Compute Engine

Anthos

15. What cloud service model would you want to select if you want to solve a particular business problem by providing CRM services in the cloud to your enterprises?

CaaS

SaaS

PaaS

IaaS

16. 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?

Deploy the application on Compute Engine using preemptible instances

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

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

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

17. Your Google Cloud Platform [GCP] admin has to manage a bunch of API keys for external services that are accessed by different applications, which are used by a few teams .

What is the best way to manage them?

Share the information in a Github repository and grant access to the repo in IAM as required.

Store the information in Secret Manager and give IAM read permissions as re-quired.

Store the information in Kubernetes Secrets and only grant read permissions to users as required.

Encrypt the information and store it in Cloud Storage for centralized access. Give the decrypt key only to the users who need to access it.

18. A developer in your IT team is cheating a bucket on Cloud Storage. He is receiving an error that the bucket name already exists. He has checked his project and the few other pro-jects in the organization, The name seems to be entirely unique, What would be the is-sue?

Bucket names ignore any "." in the name. Look for similar bucket names that have a "." in it.

Previously deleted bucket names in the same project cannot be reused. There must have been an older bucket with the same name.

Bucket names in Cloud storage have to be globally unique

Bucket name are case insensitive- look for bucket name in your org that have a different capitalization.

19. What is a key difference between VMs and containers?

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

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

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

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

20. A customer is migrating there on-promises data analytics solution to Google Cloud. The current solution has a lot of data being read form and written to disk. The performance of this approach has occasionally been a bottleneck for a scale of operations that your customer has. The application is fault tolerant and can with stand machine going down frequently. In moving to Google Cloud they are asking your advice on any way to improve performance?

Use Big Query Which has very fast data access and analysis

Use Cloud Storage which can be central, scalable storage

Use local SSDs with the VMs

Use Persistent Disk with the VMs

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21. You are a program manager in a company and handling a project and you need to create a virtual machine on google cloud console that will be very simple to set up, by flipping a bit via command, API, or with developer console that gives you 30 seconds to shut down when you’re preempted, allow you to save your work that also helps in the company budget upto 70-80% of less charges than the regular VMs.

Bare Metal Solutions

Preemptible Virtual Machines.

Google Cloud VM Instances

None of the above.

22. Which of the following statements describe the features of a preemptible VM in-stance? (Select Three Answer)

Instance is alive for no more than 12 hours

Can be pre-empted with a 30 minute notice

Can be pre-empted with a 30 second notice

Discounted Significantly

Instance is alive for no more than 24 hours

Can use free tier credits

23. 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?

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

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.

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

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

24. Considering Different Storage and database options e.g. Cloud Datastore, Cloud SQL, Cloud Storage, etc .

Which of the following statements is/are correct? (Select two answer)

Cloud DataStore and Cloud SQL have Terabytes + and Terabytes Capacity respectively.

Cloud Bigtable and Cloud Storage both have Petabytes + capacity.

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

None of the above.

25. Your company has made plans to roll out OpenShift, a Kubernetes platform solution offered by IBM Red Hat, across all its on-premises and public cloud environments. Given that you are the lead architect responsible for your company's GCP deployments, what type of shared responsibility model will this deployment entail for you?

SaaS

On premises

PaaS

IaaS

26. When creating machine learning models, a key initial step is to identify the type of model required. One of these is the classification model .

Which of these statements define a classification model?

A type of machine learning model for distinguishing among two or more discrete values.

g. "book", "car".

A type of machine learning model is a meta-model maker, which classifies algorithms based on the quality of their output.

A type of machine learning model that outputs continuous (typically, floating-point) values.

g. the predicted price of the house is $120,000.

A type of classic model approach that is less used today and which has been re-placed by the regression model.

27. Which of the following is true while creating a boot persistent disk from a snapshot.

You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.

It is only possible to apply data from a snapshot when you first create a persistent disk.

After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks.

All of the above.

28. Which of the following options is/are correct about Preemptible VMs?

Preemptible VMs don't have fixed pricing.

Both A & B

None of the Above.

You can not use Preemptible VMs at fault-tolerant workloads such as high-performance computing, big data and analytics, continuous integration/continuous delivery (CI/CD), rendering/transcoding, and testing.

29. A customer has an application running in virtual machines. They are migrating this application to Google Cloud. They have previously had scaling issues when on-premises as VMs had to be pre-allocated. Capacity planning was repeatedly off mark - it's either too many VMs or too less. They want to match the capacity to demand while keeping the application running always. They don't have the time or budget to re-architect the systems using containers and Kubernetes at the moment .

What would be your recommendation?

Run a load test on Compute Engine VMs. Get an estimate of usage. Then plan for a VM capacity of 25% above the load test value.

Use the Managed Instance Group with Compute Engine

Inform them that new-age companies are using microservices, containers, and Kubernetes for this and they can plan to rewrite the app quickly.

Inform them that using a serverless option will take care of the scaling and they can move to Cloud Run or App Engine.

30. You are a database manager working for a new product that will need millions of reading and writing 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 following database you choose?

Cloud SQL

Cloud BigTable

Cloud Spanner

Cloud Firestore

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31. A client is currently running software on their on-premise systems that is bound by a certain type of license. They are allowed to run the software on virtualized machines. However, they cannot run them on virtualized machines that are shared by two different companies, teams, or projects .

What option do they have on Google Cloud?

Google Cloud is a public cloud accessed by multiple customers.

Allocate a Bare Metal machine.

Setup exclusive login to the VM with self-generated security keys.

Allocate sole-tenant nodes

32. A customer has a tens of applications that are dependent on Oracle databases in their on-premise data centers. The customer wants to migrate to Google Cloud. Their long term goal is to move to other cloud native database technologies .

What options do they have to initially move their data?

Migrate to a Bare Metal server.

Migrate to Cloud SQ

Since there is no hosted Oracle solution, leave the Oracle data on-premise while doing analytics on Google Cloud.

Containerize Oracle and run it using Cloud Run.

33. You're negotiating SLAs with a customer. You have communicated that there will be a 99.99% (four 9s) availability for the service you are providing. Every aspect of the service is under your control. They want to modify the reliability to 99.999% (five 9s) .

What do you tell them? (Choose two answer)

Yes, that could be possible. If yes, there will be a significantly higher charge be-cause the effort is significantly higher too.

Yes, that is possible, but there will be an additional charge of 9% for the service because that is the additional effort required.

Yes, that is possible. There is hardly any difference to provide another 0.009% availability.

Ask them for the reasonable downtime they are willing to absorb. If it is more than 60 minutes in an entire year, explain how the current SLA meets that requirement.

34. How does a least privilege resource access model contribute to cloud security?

Google is responsible for determining access to cloud resources.

Employees may only access on-premises software with special permission.

Only managers and other senior employees have cloud resource access.

Employees only have access to the cloud resources necessary for their job.

35. Your organization stores highly sensitive data on-premises that cannot be sent over the public internet. The data must be processed both on-premises and in the cloud.

What should your organization do?

Configure Identity-Aware Proxy (IAP) in your Google Cloud VPC network

Create a Cloud VPN tunnel between Google Cloud and your data center

Order a Partner Interconnect connection with your network provider

Enable Private Google Access in your Google Cloud VPC network

36. Keeping Flavours of Apigee in mind, which of the following statements is/are correct?

A hybrid version consisting of a runtime plane installed on-premises or in a cloud provider of your choice, and a management plane running in Apigee's cloud. In this model, API traffic and data are confined within your own enterprise-approved boundaries.

A hosted SaaS version in which Apigee maintains the environment, allowing you to concentrate on building your services and defining the APIs to those services.

There are two types of Flavours in Apigee i.e. Apigee & Apigee Hybrid.

All of the above are correct.

37. There are internal compliance requirements that demand that we do not use any APIs or services that are not backed by SLAs .

Which of these are acceptable for us? (Choose two answer)

Alpha, Beta

Early Access, Preview

General Availability

Deprecated, but ensure that the SLA support period is still valid.

38. 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?

BigQuery ML

LookML

TensorFlow

Cloud SQL

39. Your organization needs to ensure that the Google Cloud resources of each of your departments are segregated from one another. Each department has several environments of its own: development, testing, and production .

Which strategy should your organization choose?

Create a project per department, and create a folder per environment in each project.

Create a folder per department, and create a project per environment in each folder.

Create a Cloud Identity domain per department, and create a project per environment in each domain.

Create a Cloud Identity domain per environment, and create a project per department in each domain.

40. Your organization needs to build streaming data pipelines. You don’t want to manage the individual servers that do the data processing in the pipelines. Instead, you want a managed service that will automatically scale with the amount of data to be processed.

Which Google Cloud product or feature should your organization choose?

Pub/Sub

Dataflow

Data Catalog

Dataprep by Trifacta

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41. 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"?

An input variable is used in making predictions.

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.

g. image contains a "cat".

The "knobs" that you tweak during successive runs of training a model.

g. learning rate

42. As your organization increases its release velocity, the VM-based application upgrades take a long time to perform rolling updates due to OS boot times. You need to make the application deployments faster.

What should your organization do?

Migrate your VMs to the cloud, and add more resources to them

Convert your applications into containers

Increase the resources of your VMs

Automate your upgrade rollouts

43. A retail store has discovered a cost-effective solution for creating self-service kiosks. They can use existing check-out hardware and purchase a virtual customer service application .

Why do they also need an API?

To connect the check-out hardware to the public cloud.

To connect the new application with the legacy system.

To migrate all customer data for disaster recovery.

To update the check-out hardware remotely.

44. What is the difference between Standard and Coldline storage?

Coldline storage is for data for which a slow transfer rate is acceptable.

Standard and Coldline storage have different durability guarantees.

Standard and Coldline storage use different APIs.

Coldline storage is for infrequently accessed data.

Updated Questions for Google Cloud-Digital-Leader Exam

Updated Questions for Google Cloud-Digital-Leader Exam

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