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NEW QUESTION: 1
If you are attempting to decrease cost through optimization, what is one change that needs to be managed?
A. training of two employees from each department
B. tracking personal printers that are being used and replacing the ones that are not with newer and smaller personnel printers
C. separate print/copy/fax budgets
D. a significant cultural change and buy-in from the CEO/owner
Answer: B

NEW QUESTION: 2
Which statement is true about HP Care Pack Central? (Select two.)
A. It enables you to view recommended Care Packs and supporting information.
B. It tracks where customers are in the hardware lifecycle so HP is aware of appropriate sales opportunities.
C. It helps you quickly identify eligible Care Packs for an HP hardware product.
D. It helps customers find discounts on hardware they plan to purchase.
Answer: B,C

NEW QUESTION: 3
あなたは銀行で働いているデータサイエンティストであり、Azure MLを使用して、顧客がローンを返済する可能性が高いかどうかを予測する機械学習モデルをトレーニングして登録しました。
モデルがどのように選択を行っているかを理解し、モデルが申請者の居住地に基づいてローンを拒否するなどの政府の規制に違反しないことを確認する必要があります。
顧客データの各機能が予測にどの程度影響を与えているかを判断する必要があります。
あなたは何をするべきか？
A. 解釈性パッケージを使用して、モデルの説明を生成します。
B. Hyperdriveライブラリを使用して、複数のハイパーパラメーター値でモデルをテストします。
C. 既知のラベル値を持ついくつかのテストデータに対してモデルをスコアリングし、その結果を使用して混同行列を計算します。
D. モデル登録にタグを追加して、トレーニングデータセットの特徴の名前を示します。
E. モデルとそのトレーニングデータセットのデータドリフトモニタリングを有効にします。
Answer: A
Explanation:
When you compute model explanations and visualize them, you're not limited to an existing model explanation for an automated ML model. You can also get an explanation for your model with different test data. The steps in this section show you how to compute and visualize engineered feature importance based on your test data.
Incorrect Answers:
A: In the context of machine learning, data drift is the change in model input data that leads to model performance degradation. It is one of the top reasons where model accuracy degrades over time, thus monitoring data drift helps detect model performance issues.
B: A confusion matrix is used to describe the performance of a classification model. Each row displays the instances of the true, or actual class in your dataset, and each column represents the instances of the class that was predicted by the model.
C: Hyperparameters are adjustable parameters you choose for model training that guide the training process. The HyperDrive package helps you automate choosing these parameters.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability-automl

NEW QUESTION: 4
프로젝트 관리자의 팀원 중 한 명이 지속적으로 개선되고 있습니다.이 팀원은 조직의 다른 사람들에게 역할 모델이자 멘토였습니다. 프로젝트 관리자는 이 팀원의 약속을 어떻게 인정해야 합니까?
A. 팀원의 연말 성과 검토에 문서화
B. 클라이언트와 범위를 협상하기 위해이 사람을 회의에 보냅니다.
C. 프로젝트 수명 주기 동안이 팀원의 성과를 감사합니다.
D. 이 프로젝트가 완료된 후이 팀원을 코칭 역할로 승격
Answer: C