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NEW QUESTION: 1
You create an Azure subscription with Azure AD Premium P2.
You need to ensure that you can use Azure Active Directory (Azure AD) Privileged Identity Management (PIM) to secure Azure roles.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
1. Verify your identity with MFA
2. Consent to PIM
3. Sign up PIM for AAD Roles
NEW QUESTION: 2
An organization recently implemented a data loss prevention (DLP) solution to control data in transit. Which of the following would be the GREATEST risk related to the DLP implementation?
A. Inadequate data classification
B. Improperly configured DLP modules
C. DLP false positive alerts
D. Scanning end-points during peak hours
Answer: A
NEW QUESTION: 3
You have deployed a Python application on Oracle Cloud Infrastructure Container Engine for Kubernetes.
However, during testing you found a bug that you rectified and created a new Docker image. You need to make sure that if this new Image doesn't work then you can roll back to the previous version.
Using kubectl, which deployment strategies should you choose?
A. Blue/Green Deployment
B. Canary Deployment
C. Rolling Update
D. A/B Testing
Answer: A
Explanation:
Explanation
Canary deployments are a pattern for rolling out releases to a subset of users or servers. The idea is to first deploy the change to a small subset of servers, test it, and then roll the change out to the rest of the servers.
The canary deployment serves as an early warning indicator with less impact on downtime: if the canary deployment fails, the rest of the servers aren't impacted.
Blue-green deployment is a technique that reduces downtime and risk by running two identical production environments called Blue and Green. At any time, only one of the environments is live, with the live environment serving all production traffic. For this example, Blue is currently live and Green is idle.
A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against variant B, and determining which of the two variants is more effective A rolling update offers a way to deploy the new version of your application gradually across your cluster.
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