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NEW QUESTION: 1
A technician is setting up RAID 5 on a server that needs to be highly available. Which of the following is the BEST option to use for the array?
A. Large capacity drives
B. Solid state drives
C. Hot spare drives
D. Hot swappable drives
Answer: B

NEW QUESTION: 2
A customer configured performance monitoring and alerting for their VNX storage array. Periodically they are getting alerts on write latency greater than 15 ms. The VNX is configured with a pool of SAS drives and thin LUNs supporting a database application. NAR data, for a given period which includes one of the alerts, is examined. Flash drives are installed in the VNX; however, they are not currently used.
Examining the configuration and data shows the following:
-- Host Type = Linux
-- Multi-pathing = Native
-- Failover Mode = 1
-- Data LUNs = SP A
-- Log LUNs = SP B
-- LUN Queue Length = 1.9
-- ABQL = 7.5
How can the performance issue be resolved?
A. Install and configure PowerPath on the host
B. Balance data and log LUNs across both SPs
C. Configure and enable FAST Cache
D. Configure ALUA on the host
Answer: C

NEW QUESTION: 3

A. Translator Text API
B. Web Language Model API
C. Linguistic Analysis API
D. Text Analytics API
Answer: B
Explanation:
Explanation
With the Web Language Model automate a variety of standard natural language processing tasks using state-of-the-art language modeling APIs.
Scenario: Source Documents
Documents must be in a specific format before they are uploaded to the system. The first four lines of the document must contain the following information. If any of the first four lines are missing or invalid, the document must not be processed.
* the customer account number
* the user who uploaded the document
* the IP address of the person who created the document
* the date and time the document was created
The remaining portion of the documents contain the content that must be analyzed. Prior to processing by the Azure Data Factory pipeline, the document text must be normalized so that words have spaces between them.
Reference: https://azure.microsoft.com/en-us/services/cognitive-services/web-language-model/