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Google Cloud Digital Leader Practice Test - Questions Answers, Page 18

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Question 171

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Which of the following methods should you use when you require a dynamic way of provisioning VMs on Compute Engine when it is observed that the exact specifications will be in a dedicated configuration file and you want to follow

Google's recommended practices.

Managed Instance Group
Managed Instance Group
Deployment Manager
Deployment Manager
Cloud Composer
Cloud Composer
Unmanaged Instance Group
Unmanaged Instance Group
Suggested answer: B

Explanation:

The question is about a dynamic way to provision VM, it can be achieved by a Deployment manager or by using terraform. MIG is creating multiple machines based on templates by load balancing

asked 18/09/2024
DAVID LOPEZ MORGADO
41 questions

Question 172

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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 a Bare Metal server.
Migrate to Cloud SQL.
Migrate to Cloud SQL.
Since there is no hosted Oracle solution, leave the Oracle data on-premise while doing analytics on Google Cloud.
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.
Containerize Oracle and run it using Cloud Run.
Suggested answer: B

Explanation:

The Bare Metal solution is the recommended approach. You can deploy Oracle capabilities like clustered databases, replication, and all performance features at licensing costs that are similar to on-premise systems

Google Cloud Digital Leader image Question 172 explanation 28022 09182024191217000000

https://cloud.google.com/architecture/migrating-bare-metal-workloads

asked 18/09/2024
Eric Hebert
35 questions

Question 173

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Which of the following storage options should you use when your company is using Cloud Storage to store application backup files for disaster recovery purposes, provided you want to follow Goog-le's recommended practices.

Multi-Regional Storage
Multi-Regional Storage
Coldline storage
Coldline storage
Nearline Storage
Nearline Storage
Regional Storage
Regional Storage
Suggested answer: B

Explanation:

Coldline storage is a very low cost highly durable storage service for data archiving, online backup, and disaster recovery. Coldline storage is the best choice for data that you plan to access at most once a year due to its slightly lower availability, 90 day minimum storage duration cost for data access, and higher per operation costs.

Nearline and Coldline are for backup and archival storage and having the highest availability for both with 99.9 percent.

asked 18/09/2024
Ahsan Ilyas
32 questions

Question 174

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The customer has applications that do data processing on-premise. They have been built using Hadoop and Spark. What product should I use on Google Cloud?

Dataproc
Dataproc
Dataflow
Dataflow
Dataprep
Dataprep
Dataplex
Dataplex
Suggested answer: A

Explanation:

Because Dataproc is used to run Hadoop/Spark workloads

asked 18/09/2024
Vladimir Litvinenko
29 questions

Question 175

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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)

Cloud DataStore and Cloud SQL have Terabytes + and Terabytes Capacity respec-tively.
Cloud DataStore and Cloud SQL have Terabytes + and Terabytes Capacity respec-tively.
Cloud Bigtable and Cloud Storage both have Petabytes + capacity.
Cloud Bigtable and Cloud Storage both have Petabytes + capacity.
Cloud Bigtable and Cloud Storage both have not Petabytes + capacity.
Cloud Bigtable and Cloud Storage both have not Petabytes + capacity.
None of the above.
None of the above.
Suggested answer: A, B
asked 18/09/2024
Salah Dabwan
25 questions

Question 176

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You have deployed a new public web application that allows users to register and login with email ids, phone numbers, or user ids. You are seeing some unusual activity with user registrations and logins from a few IPs. A large number of accounts were created very quickly. Logins are also happening quickly thereafter from these new accounts. Different parts of the application are being explored, all of which are putting a heavy load on the application. What could be a problem and how can you solve it?

A hacker group has hired a bunch of people to create accounts and manually use the system. Use Cloud Asset Inventory to see if there have been changes in the inventory.
A hacker group has hired a bunch of people to create accounts and manually use the system. Use Cloud Asset Inventory to see if there have been changes in the inventory.
Bots are creating accounts and then using them. Use Google Cloud's Web App and API Protection (WAAP).
Bots are creating accounts and then using them. Use Google Cloud's Web App and API Protection (WAAP).
Bots are creating accounts and then using them. Use Identity-Aware Proxy to re-strict the users to known users.
Bots are creating accounts and then using them. Use Identity-Aware Proxy to re-strict the users to known users.
Automated testing tools might still be running and creating accounts. Use Identity-Aware Proxy to restrict the users to known users.
Automated testing tools might still be running and creating accounts. Use Identity-Aware Proxy to restrict the users to known users.
Suggested answer: B

Explanation:

Bots attacking the application is the most likely scenario in this case. Using WAAP is the right protection plan: Anti-DDoS, anti-bot, WAF, and API protection help you protect against new and existing threats while helping you keep your apps and APIs compliant and continuously available.

https://cloud.google.com/solutions/web-app-and-api-protection

asked 18/09/2024
Madhanraj N
42 questions

Question 177

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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?

Use AutoML Vision Edge models.
Use AutoML Vision Edge models.
Use the Rust programming language instead of Python to identify issues like rust.
Use the Rust programming language instead of Python to identify issues like rust.
Use Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.
Use Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.
Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.
Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.
Suggested answer: A

Explanation:

AutoML Vision Edge model can be deployed to one of several types of edge devices, such as mobile phones, ARM-based devices, and the Coral Edge TPU

https://cloud.google.com/vision/automl/docs/edge-quickstart

asked 18/09/2024
k Solaimalai Raghu Raman
47 questions

Question 178

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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 transac-tions are heavily used. What technical strategy would you recommend for them?

Containerize the services and orchestrate them with Google Kubernetes Engine.
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 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 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.
Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.
Suggested answer: A

Explanation:

Containers and Kubernetes are ideal for the kind of requirement mentioned here - separate microservices that need to scale independently.

Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines (specifically, Compute Engine instances) grouped together to form a cluster.

Reference link- https://cloud.google.com/kubernetes-engine/docs/concepts/kubernetes-engineoverview

asked 18/09/2024
Sergio Quintero Angel
36 questions

Question 179

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

Cloud Storage and Cloud Data Store
Cloud Storage and Cloud Data Store
Cloud Spanner
Cloud Spanner
Cloud SQL and Google Big Table
Cloud SQL and Google Big Table
All of the above
All of the above
Suggested answer: D

Explanation:

Google Cloud Platform has other storage options to meet your needs for structured, unstructured, transactional and relational data. Core storage options: Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Data Store and Google Big Table.

Depending on your application, you might want to use one or several of these services to get the job done.

asked 18/09/2024
Jose Manuel Belmonte Martinez
34 questions

Question 180

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You are a program manager in a company you need to submit a bare metal solution order for a secure, high performance connection with a low-latency network fabric. What network information you need to submit the order to Bare Metal

Solutions.

IP Ranges for example Client IP Address range used for communication between your Google Cloud and Bare Metal Solution environments.
IP Ranges for example Client IP Address range used for communication between your Google Cloud and Bare Metal Solution environments.
Google Cloud Project Id that you are using with your bare metal solution environ-ment.
Google Cloud Project Id that you are using with your bare metal solution environ-ment.
Total number of VLANs you need in your Bare Metal Solution Environment.
Total number of VLANs you need in your Bare Metal Solution Environment.
All of the above
All of the above
Suggested answer: D

Explanation:

What Bare Metal Solution provides

Bare Metal Solution is a managed solution that provides purpose-built HPE or Atos bare-metal servers in regional extensions that are connected to Google Cloud by a managed, high-performance connection with a low-latency network fabric.

With Bare Metal Solution, Google Cloud provides and manages the core infrastructure, the network, the physical and network security, and hardware monitoring capabilities in an environment from which you can access all of the Google Cloud services. The core infrastructure includes secure, controlled-environment facilities, and power.

The Bare Metal Solution also includes the provisioning and maintenance of custom, sole-tenancy servers with local SAN, and smart hands support.

The network, which is managed by Google Cloud, includes a low-latency Partner Interconnect connection into the customer Bare Metal Solution environment.

The available Google Cloud services include private API access, management tools, support, and billing.

asked 18/09/2024
Gerrit Struik
54 questions
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