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NEW QUESTION: 1
When you calculate the vertical resolution of a screen with a horizontal resolution of 1920 pixels, assuming that the screen has an aspect ratio of 16:9, which two calculations are correct? (Choose two.)
A. (1920/16)*9
B. (1620/9)*16
C. (9*1920)/16
D. (16- 1920)/9
E. (16*9/1920
Answer: A,C
NEW QUESTION: 2
SQL1이라는 Microsoft SQL Server 인스턴스를 포함하는 온-프레미스 네트워크가 있습니다. App1이라는 Azure Logic 앱을 만듭니다.
App1이 SQL1에서 데이터베이스를 쿼리 할 수 있는지 확인해야 합니다.
어떤 세 가지 작업을 순서대로 수행해야 합니까? 응답하려면 적절한 조치를 조치 목록에서 응답 영역으로 이동하고 올바른 순서로 정렬하십시오.

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-gateway-connection
NEW QUESTION: 3
A company runs an online marketplace web application on AWS. The application serves hundreds of thousands of users during peak hours. The company needs a scalable, near-real-time solution to share the details of millions of financial transactions with several other internal applications. Transactions also need to be processed to remove sensitive data before being stored in a document database for low-latency retrieval.
What should a solutions architect recommend to meet these requirements?
A. Stream the transactions data into Amazon Kinesis Data Streams. Use AWS Lambda integration to remove sensitive data from every transaction and then store the transactions data in Amazon DynamoDB. Other applications can consume the transactions data off the Kinesis data stream.
B. Stream the transactions data into Amazon Kinesis Data Firehose to store data in Amazon DynamoDB and Amazon S3. Use AWS Lambda integration with Kinesis Data Firehose to remove sensitive data.
Other applications can consume the data stored in Amazon S3.
C. Store the batched transactions data in Amazon S3 as files. Use AWS Lambda to process every file and remove sensitive data before updating the files in Amazon S3. The Lambda function then stores the data in Amazon DynamoDB. Other applications can consume transaction files stored in Amazon S3.
D. Store the transactions data into Amazon DynamoDB. Set up a rule in DynamoDB to remove sensitive data from every transaction upon write. Use DynamoDB Streams to share the transactions data with other applications.
Answer: A
NEW QUESTION: 4
An internal auditing team would like to strengthen the password policy to support special characters. Which of the following types of password controls would achieve this goal?
A. Allow single sign on
B. Increase password length
C. Add reverse encryption
D. Password complexity
Answer: D
Explanation:
Generally, the minimum password length is considered to be 8 upper and lowercase characters. The use of at least one non-alpha character like punctuation, special characters, or numbers, combined with the password length produces strong passwords.
Strong passwords are produced by the combination of a password's length and complexity.