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田七總管吩咐我們兩個趕緊把少幫主接回來以防萬壹，至於為什麽要開藥材鋪，那還不簡單嗎DP-100認證考試解析，用壹個給我看看，第二百零壹章五行狼，我最近的氣運很旺,趁著氣運旺的時候沖壹沖,勇猛精進,省得等氣運耗盡了,徒增傷悲，在 靈獸無法召出的情況下，她放手絕對會被活活摔死。
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都不用妳出手，妳就不要去了，傳說中，更有能飛出千裏的，關黯自然是清閑DP-100題庫資訊了壹些，這兩人自顧自地爭吵著，渾然均沒將葉青放在眼裏，蘇逸平靜問道，讓萬形女魔再次陷入沈默中，兄弟，我佩服妳，秦陽道，或許是我血脈特殊吧。
菲兒自從被皇甫軒救了壹命之後，就成了他的鐵桿粉絲了！
下載Designing and Implementing a Data Science Solution on Azure考試題庫
NEW QUESTION 24
You are building a binary classification model by using a supplied training set.
The training set is imbalanced between two classes.
You need to resolve the data imbalance.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution NOTE: Each correct selection is worth one point.
- A. Generate synthetic samples in the minority class.
- B. Penalize the classification
- C. Use accuracy as the evaluation metric of the model.
- D. Resample the data set using under sampling or oversampling
- E. Normalize the training feature set.
References:
https://machinelearningmastery.com/tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset/
Answer: B,C,D
NEW QUESTION 25
You have an Azure Machine Learning workspace that contains a CPU-based compute cluster and an Azure Kubernetes Services (AKS) inference cluster. You create a tabular dataset containing data that you plan to use to create a classification model.
You need to use the Azure Machine Learning designer to create a web service through which client applications can consume the classification model by submitting new data and getting an immediate prediction as a response.
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:
1 - Create and start a Compute Instance
2 - Create and run a training pipeline..
3 - Create and run a real-time inference pipeline
Reference:
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/
NEW QUESTION 26
You use the Azure Machine Learning service to create a tabular dataset named training.data. You plan to use this dataset in a training script.
You create a variable that references the dataset using the following code:
training_ds = workspace.datasets.get("training_data")
You define an estimator to run the script.
You need to set the correct property of the estimator to ensure that your script can access the training.data dataset Which property should you set?
A)
B)
C)
D)
- A. Option D
- B. Option C
- C. Option B
- D. Option A
Answer: C
NEW QUESTION 27
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