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NEW QUESTION: 1
Which of the following terms refer to existing scan techniques with nmap? (Choose TWO correct answers.)
A. UDP SYN Scan
B. IP Scan
C. FIN Scan
D. Zero Scan
E. Xmas Scan
Answer: C,E

NEW QUESTION: 2
A consumer group wants to prove that the average hospital costs are more than $931 per day. The group randomly samples 60 accounts and finds a sample mean of $950. The hypothesis test at an a-level of 5% and assumes a o of $50. With a test value of 2.94 standard deviations and a critical value of 1.645, the decision should be _______.
A. fail to reject H : u = 931
0
B. accept H : u > 931 pa
a
C. reject H : u = 931
0
Answer: C
Explanation:
Because the test value, 2.94, is in the critical/rejection region, the test value is 1.645, the decision is: reject H : u = 931. At an a-level of 5% there is no reason to believe that the sample mean,
0
x-bar = 950, came from a population whose mean is 931 or less.

NEW QUESTION: 3
Data visualization is used in the final presentation of an analytics project. For what else is this technique commonly used?
A. Model selection
B. Data exploration
C. ETLT
D. Descriptive statistics
Answer: B

NEW QUESTION: 4
会社のデータエンジニアリングソリューションを開発します。
プロジェクトでは、リアルタイムのTwitterフィードの分析が必要です。特定のキーワードを含む投稿は、Microsoft Azureで保存および処理され、Microsoft Power BIを使用して表示される必要があります。ソリューションを実装する必要があります。
どの5つのアクションを順番に実行する必要がありますか?回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Create an HDInisght cluster with the Spark cluster type
Step 2: Create a Jyputer Notebook
Step 3: Create a table
The Jupyter Notebook that you created in the previous step includes code to create an hvac table.
Step 4: Run a job that uses the Spark Streaming API to ingest data from Twitter Step 5: Load the hvac table into Power BI Desktop You use Power BI to create visualizations, reports, and dashboards from the Spark cluster data.
References:
https://acadgild.com/blog/streaming-twitter-data-using-spark
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-use-with-data-lake-store