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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 46)

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PDF with 411 Questions

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.






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