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NEW QUESTION: 1
A systems administrator has installed a new UTM that is capable of inspecting SSL/TLS traffic for malicious payloads. All inbound network traffic coming from the Internet and terminating on the company's secure web servers must be inspected. Which of the following configurations would BEST support this requirement?
A. The UTM certificate pair must be installed on the web servers.
B. The web servers' CA full certificate chain must be installed on the UTM.
C. The UTM and web servers must use the same certificate authority.
D. The web servers' private certificate must be installed on the UTM.
Answer: B
NEW QUESTION: 2
Each of the 850 local villagers in Lucia owns either a Golden Retriever or a Bernard. How many people own both?
(1) The number of villagers who own a Golden Retriever only is 300.
(2) The number of villagers who own a Bernard only is 280.
A. Statement (1) BY ITSELF is sufficient to answer the question, but statement (2) by itself is not.
B. Statement (2) BY ITSELF is sufficient to answer the question, but statement (1) by itself is not.
C. Either statement BY ITSELF is sufficient to answer the question.
D. Statements (1) and (2) TAKEN TOGETHER are sufficient to answer the question, even though NEITHER statement BY ITSELF is sufficient.
E. Statements (1) and (2) TAKEN TOGETHER are NOT sufficient to answer the question, requiring more data pertaining to the problem.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Each one of the villagers, according to the question, has to own at least one of the two dogs.
Statement (1) is insufficient because it says nothing about the Bernard owners.
Statement (2) is insufficient because it says nothing about the Golden Retriever owners.
Combine the statements, all the information we need is present, (800 - 300 - 280) is equal to the number of people who own both races of dogs.
NEW QUESTION: 3
You plan to automate the deployment of a virtual machine scale set that uses the Windows Server 2016
Datacenter image.
You need to ensure that when the scale set virtual machines are provisioned, they have web server
components installed.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE Each correct selection is worth one point.
A. Create an Azure policy.
B. Create an automation account.
C. Create a new virtual machine scale set in the Azure portal.
D. Modify the extensionProfile section of the Azure Resource Manager template.
E. Upload a configuration script.
Answer: C,D
Explanation:
Explanation/Reference:
Explanation:
Virtual Machine Scale Sets can be used with the Azure Desired State Configuration (DSC) extension
handler. Virtual machine scale sets provide a way to deploy and manage large numbers of virtual
machines, and can elastically scale in and out in response to load. DSC is used to configure the VMs as
they come online so they are running the production software.
References: https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-
dsc
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in the series.
Start of repeated scenario
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
The following requirements must be met:
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need
to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
Partition the Fact.Order table and retain a total of seven years of data.
Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition
structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date
tables.
Incrementally load all tables in the database and ensure that all incremental changes are processed.
Maximize the performance during the data loading process for the Fact.Order partition.
Ensure that historical data remains online and available for querying.
Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
End of repeated scenario
You need to implement the data partitioning strategy.
How should you partition the Fact.Order table?
A. Create 1,460 partitions.
B. Create 2,557 partitions.
C. Create 17,520 partitions.
D. Use a granularity of one month.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
We create on partition for each day, which means that a granularity of one day is used.
Note: If we calculate the partitions that are needed, we get: 7 years times 365 days is 2,555. Make that
2,557 to provide for leap years.
From scenario: Partition the Fact.Order table and retain a total of seven years of data.
The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily.
Maximize the performance during the data loading process for the Fact.Order partition.
Reference: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables- partition