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NEW QUESTION: 1
Scenario
Refer to the topology. Your company has decided to connect the main office with three other remote branch offices
using point-to-point serial links.
You are required to troubleshoot and resolve OSPF neighbor adjacency issues between the main office and the routers
located in the remote branch offices.








R1 does not form an OSPF neighbor adjacency with R2. Which option would fix the issue?
A. R1 ethernetO/1 configured with a non-default OSPF hello interval of 25: configure no ip ospf hello-interval 25
B. R2 ethernetO/1 and R3 ethernetO/O are configured with a non-default OSPF hello interval of 25; configure no ip
ospf hello-interval 25
C. R1 ethernetO/1 is shutdown. Configure no shutdown command.
D. Enable OSPF for R1 ethernetO/1; configure ip ospf 1 area 0 command under ethernetO/1
Answer: A
Explanation:
Looking at the configuration of R1, we see that R1 is configured with a hello interval of 25 on interface Ethernet 0/1
while R2 is left with the default of 10 (not configured).

NEW QUESTION: 2
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. Use a granularity of one month.
B. Create 1,460 partitions.
C. Create 17,520 partitions.
D. Create 2,557 partitions.
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: 3
You are converting a lead for the manufacturing manager from Contoso, Ltd. Neither the company nor the manufacturing manager are in your Dynamics 365 system.
You need to ensure that the lead record a correctly convened.
Which values should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation