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NEW QUESTION: 1
A security technician would like to obscure sensitive data within a file so that it can be transferred without
causing suspicion.
Which of the following technologies would BEST be suited to accomplish this?
A. Steganography
B. Transport Encryption
C. Digital Signature
D. Stream Encryption
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Steganography is the process of hiding a message in another message so as to obfuscate its importance.
It is also the process of hiding a message in a medium such as a digital image, audio file, or other file. In
theory, doing this prevents analysts from detecting the real message. You could encode your message in
another file or message and use that file to hide your message.

NEW QUESTION: 2
Which Key Performance Indicator (KPI) determines the effectiveness of the Service Level Management Process?
A. A KPI that measures IT department satisfaction.
B. A KPI that shows the total cost for open incidents and problems.
C. A KPI that shows the open service requests in a period of time.
D. A KPI that measures IT customer satisfaction.
Answer: D

NEW QUESTION: 3
Azure ML SDKを使用してバッチ推論パイプラインを作成します。次のコードを使用してパイプラインを実行します。
azureml.pipeline.coreからのインポートパイプライン
azureml.core.experiment import Experimentから
pipeline = Pipeline(workspace=ws, steps=[parallelrun_step])
pipeline_run = Experiment(ws, 'batch_pipeline').submit(pipeline)
パイプライン実行の進行状況を監視する必要があります。
この目標を達成するための2つの可能な方法は何ですか？それぞれの正解は完全なソリューションを示します。
注：それぞれの正しい選択は1ポイントの価値があります。

A. オプションD
B. オプションE
C. オプションA
D. オプションB
E. オプションC
Answer: A,B
Explanation:
A batch inference job can take a long time to finish. This example monitors progress by using a Jupyter widget. You can also manage the job's progress by using:
* Azure Machine Learning Studio.
* Console output from the PipelineRun object.
from azureml.widgets import RunDetails
RunDetails(pipeline_run).show()
pipeline_run.wait_for_completion(show_output=True)