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The AWS-Certified-Machine-Learning-Specialty certification training develops your expertise in defining the IT architecture and in designing, building, and maintaining a secure business environment using globally approved information security standards. The course covers industry best practices and prepares you for the AWS-Certified-Machine-Learning-Specialty certification exam held by (Amazon)².

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AWS-Certified-Machine-Learning-Specialty Training Key Features

  • 67 hours of in-depth learning
  • 5 simulation test papers to prepare you for AWS-Certified-Machine-Learning-Specialty certification
  • Offers the requisite 30 CPEs for taking the AWS-Certified-Machine-Learning-Specialty examination
  • AWS-Certified-Machine-Learning-Specialty exam voucher

Skills Covered

  • Security and risk management
  • Asset security, Security architecture and design
  • Cryptography, OSI and TCP/IP models
  • IP addresses
  • Network security
  • Identity and access management
  • Security assessment and testing
  • Software development security

Benefits

A AWS-Certified-Machine-Learning-Specialty certification validates your skills in IT security. Cybersecurity Ventures predicts a total of 3.5 million Cyber Security jobs by 2021. The global Cyber Security market is expected to reach USD $282.3 Billion by 2024, growing at a rate of 11.1-percent annually.

  • Designation
  • Annual Salary
  • Hiring Companies

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AWS-Certified-Machine-Learning-Specialty Course Curriculum

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NEW QUESTION: 1
A system administrator deploys the Altiris Client Management Suite 7.1 agents and plug-ins. Some of the agent and plug-in installations fail during the install. Which option should be enabled in order to track agent and plug-in installation progress?
A. Allow Failed Job Reporting for Status Events
B. Enable Trace Reporting of Status Events
C. Allow Agent Event Reporting for Status Events
D. Enable Verbose Reporting of Status Events
Answer: D

NEW QUESTION: 2
You use Azure Pipelines lo manage the build and deployment of apps.
You are planning the release strategies for a new app. You need to choose strategies for the following scenarios:
* Releases will be made available to users who are grouped by their tolerance for software faults.
* Code will be deployed to enable functionality that will be available in later releases of the app.
* When a new release occurs, the existing deployment will remain active to minimize recovery time if a return to the previous version is required.

Answer:
Explanation:

Explanation:
Box 1: Progressive exposure
Continuous Delivery may sequence multiple deployment "rings" for progressive exposure (also known as "controlling the blast radius"). Progressive exposure groups users who get to try new releases to monitor their experience in "rings." The first deployment ring is often a "canary" used to test new versions in production before a broader rollout. CD automates deployment from one ring to the next and may optionally depend on an approval step, in which a decision maker signs off on the changes electronically. CD may create an auditable record of the approval in order to satisfy regulatory procedures or other control objectives.

Box 2: Feature flags
Feature flags support a customer-first DevOps mindset, to enable (expose) and disable (hide) features in a solution, even before they are complete and ready for release.
Box 3: Blue/green
Blue/green deployments which means that instead of replacing the previous version (here we refer to this version as blue), we bring up the new version (here referred to as the green version) next to the existing version, but not expose it to the actual users right away. On the condition of having successfully validated that the green version works correctly, we will promote this version to the public version by changing the routing configuration without downtime. If something is wrong with the green version we can revert back without users every noticing interruptions.
Reference:
https://docs.microsoft.com/en-us/azure/devops/learn/what-is-continuous-delivery
https://docs.microsoft.com/en-us/azure/devops/migrate/phase-features-with-feature-flags
https://medium.com/@denniszielke/continuous-kubernetes-blue-green-deployments-on-azure-using-nginx-appgateway-or-trafficmanager-4490bce29cb

NEW QUESTION: 3
Scenario:
CGE's CIO asks a Citrix Architect to design a new Provisioning Services environment. Management asks about best practices for storing master images to ensure scalability, performance, and high availability.
Which solution should the architect recommend?
A. Configure a shared storage location (CIFS) on a Windows File Server for each regional datacenter.
B. Configure an iSCSI LUN on a Storage Area Network (SAN) for each Provisioning Services server.
C. Configure a shared storage location (CIFS) on a Network Attached Storage (NAS) device.
D. Configure an iSCSI LUN on a Network Attached Storage (NAS) device for each Provisioning Services server.
Answer: D

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Pre-requisites

To obtain your AWS-Certified-Machine-Learning-Specialty certification, you must have a minimum of five years of full-time professional work experience in two or more of the 8 domains of the AWS-Certified-Machine-Learning-Specialty – (Amazon)² CBK 2018. A qualified individual with less than five years of experience will receive the (Amazon)² associate title.
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Course Content

AWS-Certified-Machine-Learning-Specialty Course Reviews

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    Sr. Security Manager

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    Thomas Kurian

    Information Security Engineer at Kuwaiti Canadian Consulting Group

    The training is online and interactive. The recordings are also shared for our reference.

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    Vijay Chaitanya Reddy Kovvuri

    Information Security at Syntel

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    Manoj Sharma

    Information Security Manager

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    IT Security Analyst at Halliburton

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    Hussein Ali AL-Assaad

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