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Google Cloud Certified - Professional Cloud Security Engineer Exam

  • Exam Number/Code : Professional-Cloud-Security-Engineer
  • Exam Name : Google Cloud Certified - Professional Cloud Security Engineer Exam
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NEW QUESTION: 1
A global company uses Oracle E-Business Suite Release 12 for Its operations In the U.S. and Canada. The company Is now adding Mexico to the Oracle E-Business Suite Release 12 Applications. As a system administrator, you need to set the MO: Operating Unit profile option for Mexico. Customer is not using Multi-Org Access Control.
You set the MO: Operating Unit profile option at the ____level.
A. User
B. Responsibility
C. Application
D. Site
Answer: B

NEW QUESTION: 2
Which two agents or features are included in the Bronze licensing edition? (Choose two.)
A. Agent for Applications and Databases
B. Deduplication Feature
C. VTL Unlimited Drive Feature
D. Agent for VMware and Hyper-V
E. Remote Media Agent for Linux Servers
Answer: B,D

NEW QUESTION: 3
DRAG DROP
An organization is implementing a project to simplify the management of its firewall network flows and implement security controls. The following requirements exist. Drag and drop the BEST security solution to meet the given requirements. Options may be used once or not at all. All placeholders must be filled.

Answer:
Explanation:

Explanation:
To permit users to work securely from home, we can use a VPN. A VPN is used to provide secure access for remote users by encrypting data sent between the remote location and the local network.
To permit users to access their account only from certain countries, we need to implement risk profiling of any connecting device. Risk profiling uses rules to determine 'risk'. Rules can include source IP which would determine the country.
To detect credit card information leaving the organization, we can implement a DLP (Data Loss
Prevention) solution. Data loss prevention (DLP) is a strategy for making sure that end users do not send sensitive or critical information outside the corporate network.
The infrastructure we should deploy to permit users to access the Internet should include a forward proxy server. A forward proxy server retrieves data from external sources on behalf of users internal to the organization. For example, a user's web browser will send a request for a web page to the forward proxy, the proxy will then request the web page from an Internet web server and then the proxy will return the web page to the web browser.
The infrastructure we should deploy to permit customers to access their account balance should include a reverse proxy server. A reverse proxy server retrieves data from internal sources on behalf of users
(customers) external to the organization. The reverse proxy server receives the request from an external user, retrieves the data from an internal server then returns the information to the customer.
References:
http://www.jscape.com/blog/bid/87783/Forward-Proxy-vs-Reverse-Proxy

NEW QUESTION: 4
You create a deep learning model for image recognition on Azure Machine Learning service using GPU-based training.
You must deploy the model to a context that allows for real-time GPU-based inferencing.
You need to configure compute resources for model inferencing.
Which compute type should you use?
A. Azure Kubernetes Service
B. Machine Learning Compute
C. Field Programmable Gate Array
D. Azure Container Instance
Answer: A
Explanation:
You can use Azure Machine Learning to deploy a GPU-enabled model as a web service. Deploying a model on Azure Kubernetes Service (AKS) is one option. The AKS cluster provides a GPU resource that is used by the model for inference.
Inference, or model scoring, is the phase where the deployed model is used to make predictions. Using GPUs instead of CPUs offers performance advantages on highly parallelizable computation.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-inferencing-gpus