Databricks Associate-Developer-Apache-Spark-3.5 Q&A - in .pdf

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  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
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  • Q & A: 365 Questions and Answers
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  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
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NEW QUESTION: 1
Which of the following techniques is most suitable for extracting text from a PDF Document which originated as a Microsoft Word Document and was saved as a read only PDF?
A. Use the 'Get Text' option of a Blue Prism Read Stage on Regions
B. None of these options
C. Use Global Mouse Clicks and Global Send Keys to extract the PDF text to the Windows clipboard and use Blue Prism utilities or functions to extract the text from the clipboard
D. Use the 'Read Text with OCR' option of a Blue Prism Read Stage on Win32 Elements
Answer: C

NEW QUESTION: 2
どのステートメントはIOS会計について真ですか。
A. 認可は会計の前に構成しなければなりません。
B. 会計方式の名前付きリストを定義しなければなりません。
C. AAA方式の名前付きリストを定義しなければなりません。
D. トラッキング方式の名前付きリストを定義しなければなりません。
Answer: A

NEW QUESTION: 3
Case Study #2
You are the director of the Health Information Management Department for Bayshore Hospital. A former patient of the hospital, Barbara Masters, is suing the hospital for negligent care of an infected decubitus ulcer. You are asked by Barbara's attorney to provide sworn verbal testimony and/or written answers to questions.
Referring to Case Study #2, Bayshore Hospital is the _________________ in this case.
A. plaintiff
B. appellant
C. appellee
D. defendant
Answer: D

NEW QUESTION: 4
You use Azure Stream Analytics to receive Twitter data from Azure Event Hubs and to output the data to an Azure Blob storage account.
You need to output the count of tweets during the last five minutes every five minutes. Each tweet must only be counted once.
Which windowing function should you use?
A. a five-minute Tumbling window
B. a five-minute Hopping window that has one-minute hop
C. a five-minute Session window
D. a five-minute Sliding window
Answer: A
Explanation:
Explanation
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.

References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

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