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NEW QUESTION: 1
A placement group in Amazon EC2 can
A. place high memory instances in one logical group.
B. reduce network latency and increase network throughput
C. logically name and tag different tiers of the system (DB, application, business logic etc).
D. isolate any instance-type physically so that groups access local resources.
Answer: B
Explanation:
A placement group is a logical grouping of instances within a single Availability Zone. Placement groups are recommended for applications that benefit from low network latency, high network throughput, or both. To provide the lowest latency, and the highest packet-per-second network performance for your placement group, choose an instance type that supports enhanced networking.
Reference: https://aws.amazon.com/ec2/faqs/

NEW QUESTION: 2
When there are too many child categories, what can be created to allow intermediate groupings?
A. A manual level
B. An alternate drill-path
C. A subdimension
D. A cube group
Answer: A

NEW QUESTION: 3
A network design team is experiencing sustained congestion on access and distribution uplinks. QoS has already been implemented and optimized, and it is no longer effective in ensuring optimal network performance.
Which two actions can improve network performance? (Choose two.)
A. Utilize random early detection to manage queues.
B. Bundle additional uplinks into logical EtherChannels.
C. Configure selective packet discard to drop noncritical network traffic.
D. Reconfigure QoS based on the IntServ model.
E. Implement higher-speed uplink interfaces.
Answer: B,E

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 the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.

The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a chart that displays a sum of Order[Order_amount] by month for the Order_ship_date column and the Order_date column.
How should you model the data?
A. Add a second Date table named Ship_date to the model. Create a many-to-many relationship from Date[Date_ID] to Order[Order_date] and many-to-many relationship from Ship_date[Date_ID] to Order [Order_ship_date].
B. Create a one-to-many relationship from Date[Date_ID] to Order[Order_date] and another relationship from Date[Date_ID] to Order[Order_ship_date].
C. Create a one-to-many relationship from Date[Date_ID] to Order[Order_date] and another relationship from Date[Date_ID] to Monthly_returns[Date_ID].
D. Add a second Date table named Ship_date to the model. Create a one-to-many relationship from Date [Date_ID] to Order[Order_date] and a one-to-many relationship from Ship_Date[Date_ID] to Order [Order_ship_date].
Answer: D