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NEW QUESTION: 1
Which of the following is NOT a valid technique/algorithm used in InfoSphere Warehouse Data Mining?
A. Clustering
B. Classification
C. Differentiation
D. Association
Answer: C
NEW QUESTION: 2
Huawei Cloud APM represents a complete process from "user request > webserver > DB > webserver > user request", usually represented by an HTTP request. In real life, the query of a commodity in commercial application is a thing. As shown in the following figure, a transaction page of the application operation and maintenance, which statements are correct?
A. The transaction "user registration" has an Apdex value of 0.5. The possible reason is that the overall delay of the transaction is too long.
B. Click the icon in the action column to jump to the topology
C. Only the status of the "Query product" transaction is healthy
D. The transaction "purchase goods" has an Apdex value of 0.72. The possible reason is that the overall delay of the transaction is too long.
Answer: D
NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder.
You must run the script as an Azure ML experiment on a compute cluster named aml-compute.
You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml-compute that references the target compute cluster.
Solution: Run the following code:
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
The scikit-learn estimator provides a simple way of launching a scikit-learn training job on a compute target. It is implemented through the SKLearn class, which can be used to support single-node CPU training.
Example:
from azureml.train.sklearn import SKLearn
}
estimator = SKLearn(source_directory=project_folder,
compute_target=compute_target,
entry_script='train_iris.py'
)
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-scikit-learn
NEW QUESTION: 4
ヘッドセットをラップトップに接続するために使用されるのは次のうちどれですか？
A. RG-6
B. BNC
C. USB
D. eSATA
Answer: C