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NEW QUESTION: 1
You have an app that uses the Language Understanding (LUIS) API as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: train
Utterances are input from the user that your app needs to interpret. To train LUIS to extract intents and entities from them, it's important to capture a variety of different example utterances for each intent. Active learning, or the process of continuing to train on new utterances, is essential to machine-learned intelligence that LUIS provides.
Box 2: creating intents
Each intent needs to have example utterances, at least 15. If you have an intent that does not have any example utterances, you will not be able to train LUIS. If you have an intent with one or very few example utterances, LUIS will not accurately predict the intent.
Box 3: never published
In each iteration of the model, do not add a large quantity of utterances. Add utterances in quantities of 15. Train, publish, and test again.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-utteran3ce

NEW QUESTION: 2
Refer to the exhibit.
What will be the extended community value of this route?
A. RT:200:3000
B. RT:200:3000 RT:200:9999
C. RT:200:9999 RT:200:3000
D. RT:200:9999
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Here the route map is being used to manually set the extended community RT to 200:9999

NEW QUESTION: 3
The touch-screen feature on a Windows device has stopped working. Which of the following should the technician check FIRST?
A. Performance Monitor
B. Device Manager
C. System configuration
D. Digitizer settings
Answer: D

NEW QUESTION: 4
When writing Terraform code, HashiCorp recommends that you use how many spaces between each nesting level?
A. 0
B. 1
C. 2
D. 3
Answer: B
Explanation:
The Terraform parser allows you some flexibility in how you lay out the elements in your configuration files, but the Terraform language also has some idiomatic style conventions which we recommend users always follow for consistency between files and modules written by different teams. Automatic source code formatting tools may apply these conventions automatically.
Indent two spaces for each nesting level.
When multiple arguments with single-line values appear on consecutive lines at the same nesting level, align their equals signs:
ami = "abc123"
instance_type = "t2.micro"
When both arguments and blocks appear together inside a block body, place all of the arguments together at the top and then place nested blocks below them. Use one blank line to separate the arguments from the blocks.
Use empty lines to separate logical groups of arguments within a block.
For blocks that contain both arguments and "meta-arguments" (as defined by the Terraform language semantics), list meta-arguments first and separate them from other arguments with one blank line. Place meta-argument blocks last and separate them from other blocks with one blank line.
resource "aws_instance" "example" {
count = 2 # meta-argument first
ami = "abc123"
instance_type = "t2.micro"
network_interface {
# ...
}
lifecycle { # meta-argument block last
create_before_destroy = true
}
}
Top-level blocks should always be separated from one another by one blank line. Nested blocks should also be separated by blank lines, except when grouping together related blocks of the same type (like multiple provisioner blocks in a resource).
Avoid separating multiple blocks of the same type with other blocks of a different type, unless the block types are defined by semantics to form a family. (For example: root_block_device, ebs_block_device and ephemeral_block_device on aws_instance form a family of block types describing AWS block devices, and can therefore be grouped together and mixed.)

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