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NEW QUESTION: 1
Your customer receives data in JSON format.
Which option should you use to load this data into Hive tables?
A. Python
B. a custom Java program
C. Sqoop
D. Flume
E. SerDe
Answer: E
Explanation:
Explanation/Reference:
SerDe is short for Serializer/Deserializer. Hive uses the SerDe interface for IO. The interface handles both serialization and deserialization and also interpreting the results of serialization as individual fields for processing.
A SerDe allows Hive to read in data from a table, and write it back out to HDFS in any custom format.
Anyone can write their own SerDe for their own data formats.
The JsonSerDe for JSON files is available in Hive 0.12 and later.
References: https://cwiki.apache.org/confluence/display/Hive/SerDe
NEW QUESTION: 2
A. 0
B. 1
C. 2
D. 3
Answer: A
Explanation:
IPv6 has 128-bit (16-byte) source and destination IP addresses. Although 128 bits can express over 3.4x1038 possible combinations, the large address space of IPv6 has been designed for multiple levels of subnetting and address allocation from the Internet backbone to the individual subnets within an organization.
References: http://technet.microsoft.com/en-us/library/dd379516%28v=WS.10%29.aspx
NEW QUESTION: 3
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question: "What is your warranty period?" Users report that the chatbot returns the default QnA Maker answer when they ask the following question: "How long is the warranty coverage?" The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?" Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
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. (Choose three.)
Answer:
Explanation:
Explanation:
Step 1: Add alternative phrasing to the question and answer (QnA) pair.
Add alternate questions to an existing QnA pair to improve the likelihood of a match to a user query.
Step 2: Retrain the model.
Periodically select Save and train after making edits to avoid losing changes.
Step 3: Republish the model
Note: A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base
NEW QUESTION: 4
A firm has a constant pre-depreciation income using assets that last 5 years. The straight-line method results in a rate of return that ________ over the life of the assets. The accelerated methods result in a rate of return that ________ over the life of the assets.
A. increases, decreases
B. increases, increases
C. decreases, increases
D. decreases, decreases
Answer: B
Explanation:
Explanation/Reference:
Explanation:
The straight line and all accelerated depreciation methods giving an increasing rate of return on assets over the asset life (the pre-depreciation income is held constant to isolate the effect). This is a mathematical fact which you can easily prove.