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NEW QUESTION: 1
You plan to deploy two new Microsoft Azure SQL Database instances. Once instance will support a data entry application. The other instance will support the company's business intelligence efforts. The databases will be accessed by mobile applications from public IP addresses.
You need to ensure that the database instances meet the following requirements:
The database administration team must receive alerts for any suspicious activity in the data entry database, including potential SQL injection attacks.
Executives around the world must have access to the business intelligence application.
Sensitive data must never be transmitted. Sensitive data must not be stored in plain text in the database.
In the table below, identify the feature that you must implement for each database.
NOTE: Make only one selection in each column. Each correct selection is work one point.

Answer:
Explanation:

Explanation:
Data entry: Threat Detection
SQL Threat Detection provides a new layer of security, which enables customers to detect and respond to potential threats as they occur by providing security alerts on anomalous activities. Users receive an alert upon suspicious database activities, potential vulnerabilities, and SQL injection attacks, as well as anomalous database access patterns.
Business intelligence: Dynamic Data Masking
Dynamic data masking limits (DDM) sensitive data exposure by masking it to non-privileged users. It can be used to greatly simplify the design and coding of security in your application.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-threat-detection
https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series
contains a unique solution that might meet the stated goals. Some question sets might have more than one
correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions
will not appear in the review screen.
You are developing an Azure solution to collect point-of-sale fPOS) device data from 2,000 stores located
throughout the world. A single device can produce 2 megabytes (MB) of data every 24 hours. Each store
location has one to five devices that send data.
You must store the device data in Azure Blob storage. Device data must be correlated based on a device
identifier. Additional stores are expected to open in the future.
You need to implement a solution to receive the device data.
Solution: Provision an Azure Event Hub. Configure the machine identifier as the partition key and enable
capture.
A. No
B. Yes
Answer: B

NEW QUESTION: 3
You maintain an Azure Web App that runs in a container. The container is using a Dockerfile that is copied to numerous places and consumes a large amount of storage. You need to optimize the Dockerfile.
What should you do?
A. Minimize layers by grouping actions in as few RUN instructions as possible
B. Minimize layers by concatenating all RUN instructions on one line.
C. Use multiple RUN instructions for cached operation.
D. Configure the CU with a .dockerignore file.
Answer: A
Explanation:
Minimize the number of layers.
Prior to Docker 17.05, and even more, prior to Docker 1.10, it was important to minimize the number of layers in your image.C In Docker 1.10 and higher, only RUN, COPY, and ADD instructions create layers.
References:
https://docs.docker.com/v17.09/engine/userguide/eng-image/dockerfile_best-practices