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NEW QUESTION: 1
A customer wants to safeguard their server firmware and asks you about the HPE ProLiant Gen10 features that provide this level of security.
Which Gen10 feature best addresses the customers concern?
A. Gen10 severs support data encryption at rest, which uses cryptography on the database housing the data and on the physical storage where the databases are stored.
B. The Secure Boot feature in Gen10 servers checks the signature of the firmware drivers and other files to ensure that the firmware is trusted by the operating system.
C. The Trusted Platform Module (TPM) in Gen10 servers protects firmware by using public and private key encryption.
D. Gen10 servers use silicon root of trust to validate and detect corrupted firmware, and authenticate to block unauthorized updates.
Answer: A
NEW QUESTION: 2
HOTSPOT
Fabrikam has a Skype for Business Server 2015 environment that is centralized in Melbourne, Australia.
You deploy dial-in conferencing and local country numbers. The Singapore office has meeting rooms that are equipped with video teleconferencing (VTC) endpoints that interoperate with Skype for Business.
These VTC endpoints are registered to a supported local IP-PBX system.
You have the following requirements:
You must leverage the existing meeting room solution for joining Skype for Business meetings.
You must provide Skype for Business services locally to protect against wide area network (WAN)
outages.
Financial traders in Hong Kong require persistent chat.
You need to deploy the additional Skype for Business Server 2015 roles.
In the table below, identify the server roles that must be deployed in each location.
NOTE: Make only one selection in each column. Each correct answer is worth one point.
Hot Area:
Answer:
Explanation:
NEW QUESTION: 3
DRAG DROP
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 this series.
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 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 data in the data warehouse is stored on a shared SAN. 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.
You have the following requirements:
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.
You need to configure the Fact.Order table.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:
Answer:
Explanation:
Explanation/Reference:
Explanation:
From scenario: Partition the Fact.Order table and retain a total of seven years of data. Maximize the performance during the data loading process for the Fact.Order partition.
Step 1: Create a partition function.
Using CREATE PARTITION FUNCTION is the first step in creating a partitioned table or index.
Step 2: Create a partition scheme based on the partition function.
To migrate SQL Server partition definitions to SQL Data Warehouse simply:
Eliminate the SQL Server partition scheme.
Add the partition function definition to your CREATE TABLE.
Step 3: Execute an ALTER TABLE command to specify the partition function.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables- partition