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Microsoft GH-500 - GitHub Advanced Security Exam Braindumps

Microsoft GH-500 - GitHub Advanced Security Exam Braindumps

  • Certification Provider:Microsoft
  • Exam Code:GH-500
  • Exam Name:GitHub Advanced Security Exam Exam
  • Total Questions:276 Questions and Answers
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NEW QUESTION: 1
Which option describes the purpose of the USB ports on the external connection unit of the NCS 2006?
A. inventory and monitoring of passive optical devices
B. to charge a USB powered device
C. multishelf management
D. to load software via a thumb drive
Answer: A

NEW QUESTION: 2
You want to enable your running Google Container Engine cluster to scale as demand for your application changes. What should you do?

A. Option A
B. Option C
C. Option B
D. Option D
Answer: B
Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler To enable autoscaling for an existing node pool, run the following command:
gcloud container clusters update [CLUSTER_NAME] --enable-autoscaling \--min-nodes 1 --max-nodes 10
--zone [COMPUTE_ZONE] --node-pool default-pool

NEW QUESTION: 3

A. Option A
B. Option C
C. Option B
D. Option D
Answer: B

NEW QUESTION: 4
In Einstein Discovery:
A. 'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.
B. 'Why It Happened' insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story's goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.
C. 'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform "what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:
- waterfall charts for predictions
- bar charts for suggested improvements
D. 'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.
Answer: A,C,D

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