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NEW QUESTION: 1
An administrator is creating new severs in a public cloud. The workflow creates and application group with three VMs, one web server, one application server and one database server. The three VMs are all accessible via SSH, but the websites shows a 503-error referring to a database issue.
Which of the following is the MOST likely cause of the error?
A. Misconfigured firewall rule
B. Misconfigured proxy
C. Misconfigure routing
D. Misconfigured VLAN
Answer: C

NEW QUESTION: 2
Review the exhibit and identify the type of vulnerability or attack that is commonly used against this technology.

A. denial-of-service
B. phishing
C. code-injection
D. password cracking
Answer: D

NEW QUESTION: 3
Which business functions from the following are supported by network activities?
There are 3 correct answers to this question.
Response:
A. Periodic processing
B. Internal activity
C. External activity
D. Billing plans
Answer: A,B,C

NEW QUESTION: 4
You need to ensure that documents are ready to be processed.
Which API should you use?
A. Translator Text API
B. Text Analytics API
C. Web Language Model API
D. Linguistic Analysis API
Answer: C
Explanation:
Explanation/Reference:
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/