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NEW QUESTION: 1
In the execution of a MapReduce job, where does the mapper place the intermediate data in each map task?
A. The mapper transfer the intermediate data immediately to the reducers as it is generated by map task.
B. The hadoop framework holds the intermediate data in the task trackers memory until it is transferred to the reducers
C. The mapper stores the intermediate data on the underlying filesystem of the local disk of the machine which ran the map task
D. The mapper transfers the intermediate data to the jobtracker, which then sends it to the reducers
Answer: C
Explanation:
mapreduce.cluster.local.dir The local directory where MapReduce stores intermediate data files. May be a comma-separated list of directories on different devices in order to spread disk i/o. Directories that do not exist are ignored.
NEW QUESTION: 2
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION: 3
Which dashboard does the Control Room administrator need to reference to get a graphical representation of Events Distribution by Activity Type?
A. Insights
B. Bots
C. Audit
D. Workload
Answer: C
NEW QUESTION: 4
You are using the Hyperdrive feature in Azure Machine Learning to train a model.
You configure the Hyperdrive experiment by running the following code:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Yes
In random sampling, hyperparameter values are randomly selected from the defined search space. Random sampling allows the search space to include both discrete and continuous hyperparameters.
Box 2: Yes
learning_rate has a normal distribution with mean value 10 and a standard deviation of 3.
Box 3: No
keep_probability has a uniform distribution with a minimum value of 0.05 and a maximum value of 0.1.
Box 4: No
number_of_hidden_layers takes on one of the values [3, 4, 5].
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters