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NEW QUESTION: 1
You need to recommend a configuration for the VMM network fabric. The solution must meet the
requirements for managing services in the private cloud.
What should you include in the recommendation?
Case Study Title (Case Study):
A. Create a virtual IP (VIP) template.
B. Disable the Automatic creation of virtual networks setting.
C. Create a hardware load balancer.
D. Disable the Logical network matching setting.
Answer: D
NEW QUESTION: 2
A company manufactures widgets for sale to distribution. Distributors call this company when they want to order more widgets. The company wants the distributors to send orders using XML documents over the Internet to reduce the number of data entry personnel needed. It has no control over the distributors technologies. The company does not want the Orders to impact the performance of other users. You have been assigned the task of designing a new API.
Which method do you use?
A. Design the API as an asynchronous web service.
B. Design the API as a Java Message Service (JMS) queue.
C. Design the API as an Remote Method Invocation (RMI) interface.
D. Design the API as a synchronous web service.
Answer: A
NEW QUESTION: 3
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 17,520 partitions.
C. Use a granularity of one month.
D. Use a granularity of one day.
Answer: D
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
NEW QUESTION: 4
Which type of EIGRP route entry describes a feasible successor?
A. a primary route, stored in the routing table
B. a primary route, stored in the topology table
C. a backup route, stored in the routing table
D. a backup route, stored in the topology table
Answer: D
Explanation:
http://www.cisco.com/en/US/tech/tk365/technologies_tech_note09186a0080093f07.shtml Feasible Successors A destination entry is moved from the topology table to the routing table when there is a feasible successor. All minimum cost paths to the destination form a set. From this set, the neighbors that have an advertised metric less than the current routing table metric are considered feasible successors.
Feasible successors are viewed by a router as neighbors that are downstream with respect to the destination.
These neighbors and the associated metrics are placed in the forwarding table.
When a neighbor changes the metric it has been advertising or a topology change occurs in the network, the set of feasible successors may have to be re-evaluated. However, this is not categorized as a route recomputation.
Feasible successor is a route whose Advertised Distance (AD) is less than the Feasible Distance (FD) of the current best path. A feasible successor is a backup route, which is not stored in the routing table but, stored in the topology table.
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