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NEW QUESTION: 1
To which remote device can the FortiGate send logs? (Choose three.)
A. Syslog
B. FortiCloud
C. FortiAnalyzer
D. Hard drive
E. Memory
Answer: A,B,C
NEW QUESTION: 2
다음 산포도는 무엇을 제안합니까?
A. 교육 비용은 판매 수익에 영향을 미치지 않습니다.
B. 여러 데이터 포인트가 잘못 표시됩니다.
C. 훈련 프로그램이 효과적이지 않습니다.
D. 판매 수익은 교육 비용과 반비례합니다.
Answer: A
Explanation:
Internal auditors may use scatter diagrams to detect misstated data, relationships among variables, and unusual operating results. A scatter diagram is a graph of data points. When the points have a systematic relationship, the independent (x) variable and dependent (y) variable are likely to be correlated; i.e.. the value of one variable is a predictor of the value of the other. However, the variables in this scatter gram are clearly uncorrelated because training costs do not predict sales.
NEW QUESTION: 3
When a client questions the nurse as to the purpose of exercise electrocardiography (ECG) in the diagnosis of cardiovascular disorders, the nurse's response should be based on the fact that:
A. The client can be monitored while cardiac conditioning and heart toning are done
B. The procedure simulates usual daily activity and myocardial performance
C. The test provides a baseline for further tests
D. Ischemia can be diagnosed because exercise increases O2 consumption and demand
Answer: D
Explanation:
(A)
The purpose of the study is not to provide a baseline for further tests. (B) The test causes an increase in O2 demand beyond that required to perform usual daily activities.
(C)
Monitoring does occur, but the test is not for the purpose of cardiac toning and conditioning. (D) Exercise ECG, or stress testing, is designed to elevate the peripheral and myocardial needs for O2 to evaluate the ability of the myocardium and coronary arteries to meet the additional demands.
NEW QUESTION: 4
You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Export Data
The Export data to Hive option in the Export Data module in Azure Machine Learning Studio. This option is useful when you are working with very large datasets, and want to save your machine learning experiment data to a Hadoop cluster or HDInsight distributed storage.
Box 2: Apache Hive
Apache Hive is a data warehouse system for Apache Hadoop. Hive enables data summarization, querying, and analysis of data. Hive queries are written in HiveQL, which is a query language similar to SQL.
Box 3: Azure Data Lake
Default storage for the HDFS file system of HDInsight clusters can be associated with either an Azure Storage account or an Azure Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-to-hive-query
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/hdinsight-use-hive