Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 45)

Page 45 of 104

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?

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

Answer(s): 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



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?

  1. Containerize the services and orchestrate them with Google Kubernetes Engine.
  2. Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.
  3. Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.
  4. Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.

Answer(s): 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-engine- overview



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

  1. Cloud Storage and Cloud Data Store
  2. Cloud Spanner
  3. Cloud SQL and Google Big Table
  4. All of the above

Answer(s): 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.



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

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

Answer(s): 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.



Page 45 of 104



Post your Comments and Discuss Google CLOUD-DIGITAL-LEADER exam with other Community members:

Hemlata commented on December 20, 2024
Great content
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Hemlata commented on December 20, 2024
It is useful.
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Usman commented on December 10, 2024
It is a great collection but I have noticed that some answers are wrong. For example, it says that correct answer is B but the description of that answer matches with answer A. So it is advisable to read the answer's description as well.
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Anand commented on December 06, 2024
Nice questions
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Srinivas commented on December 04, 2024
Good collection of questions
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AK commented on November 28, 2024
Are these enough?
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Harish commented on November 18, 2024
It is very helpful to understand the GCP
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Vidhi Mishra commented on October 25, 2024
Nice set of questions
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Baghya commented on October 24, 2024
Yeh dumps use kiye aur exam mein pass ho gaya.
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Varma commented on October 24, 2024
Thanks team and Thanks to these dumps, I’ve never felt so confident about last-minute prep!
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Passed! let’s just say these dumps were the secret weapon.
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I passed with ease, and now I have to explain to my friends how ‘studying’ got me through. hahah
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Drew commented on October 24, 2024
Used these dumps, nailed the exam—now I’m basically a genius (or close enough).
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Vidhi Mishra commented on October 24, 2024
Huge set of Cloud Dital leader exam
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Learner commented on September 20, 2024
Nice coverage
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vasavi commented on September 11, 2024
give me some more clarity
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SB commented on July 18, 2024
good questions
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Shiv commented on July 13, 2024
Good to see
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Rinku commented on June 24, 2024
have a doubt in question 1
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Ranveer commented on July 26, 2023
Pass this exam 3 days ago. The PDF version and the Xengine App is quite useful.
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Karthik commented on October 12, 2023
nice question
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EDITH NCUBE commented on July 25, 2023
answers are correct
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Karthik commented on October 12, 2023
Nice question
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Arvind commented on September 16, 2023
question 40 is wrong and reference is also wrong(its aws). The ans should be Storage Transfer Service.
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Lavanya commented on September 11, 2023
Nice info very useful
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Aam Aadmi commented on August 11, 2023
Answer to question#60 doesnt look right, if organization needs serverless compute, it should be cloud function instead of compute engine
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EDITH NCUBE commented on July 26, 2023
Question 60 is wrong. The answer should be C
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EDITH NCUBE commented on July 25, 2023
Answers are correct
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EDITH NCUBE commented on July 25, 2023
The answers seem correct
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JB commented on July 23, 2023
Good basic questions
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Jaideep commented on July 14, 2023
good question
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Rekha commented on May 24, 2023
Useful dump
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