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NVIDIA Generative AI LLMs

  • Exam Number/Code : NCA-GENL
  • Exam Name : NVIDIA Generative AI LLMs
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
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NEW QUESTION: 1
Click the Exhibit button.

You are configuring BGP policies for a site with a dual-homed connection as shown in the exhibit. You must ensure that inbound traffic from Internet hosts flow through the ISP A connection.
Which statement is correct in this scenario?
A. Apply a BGP export policy onR2to assign a lower origin value to routes advertised to ISP B
B. Apply a BGP export policy to R2 to prepend [65001 65001 65001 65001 65001] to the AS path of routes advertised to ISP B
C. Apply a BGP export policy on R1 to assign a higher local preference value to routes advertised to ISP A
D. Apply a BGP export policy on R1 to assign a lower MED value to routes advertised to ISP A
Answer: B

NEW QUESTION: 2
Which statement about project roles is CORRECT?
A. The project board roles defined in PRINCE2 must be used, but other roles can be defined as required
B. The project organization must be defined using the roles and responsibilities in PRINCE2
C. Any role can be defined as required the responsibilities defined in PRINCE2 are fulfilled
D. The project team structure defined in PRINCE2 must be used, but other roles may be added
Answer: A

NEW QUESTION: 3
Which tab contains the Window tool?
A. Modify
B. Design
C. Insert
D. Home
Answer: D

NEW QUESTION: 4
あなたは線形回帰モデルを作成するデータサイエンティストです。
データが回帰直線にどの程度適合するかを判断する必要があります。
どのメトリックを確認する必要がありますか?
A. Root Mean Square Error
B. Precision
C. Coefficient of determination
D. Mean absolute error
E. Recall
Answer: C
Explanation:
Coefficient of determination, often referred to as R2, represents the predictive power of the model as a value between 0 and 1. Zero means the model is random (explains nothing); 1 means there is a perfect fit. However, caution should be used in interpreting R2 values, as low values can be entirely normal and high values can be suspect.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model