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The Customer Has an Indexer Cluster Supporting a Wide Variety

question 16

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The customer has an indexer cluster supporting a wide variety of search needs, including scheduled search, data model acceleration, and summary indexing. Here is an excerpt from the cluster mater's server.conf : The customer has an indexer cluster supporting a wide variety of search needs, including scheduled search, data model acceleration, and summary indexing. Here is an excerpt from the cluster mater's server.conf :   Which strategy represents the minimum and least disruptive change necessary to protect the searchability of the indexer cluster in case of indexer failure? A)  Enable maintenance mode on the CM to prevent excessive fix-up and bring the failed indexer back online. B)  Leave replication_factor=2 , increase search_factor=2 and enable summary_replication . Leave replication_factor=2 , increase search_factor=2 and enable summary_replication . C)  Convert the cluster to multi-site and modify the server.conf to be site_replication_factor=2 , site _search_factor=2 . Convert the cluster to multi-site and modify the to be site_replication_factor=2 , site _search_factor=2 D)  Increase replication_factor=3 , search_factor=2 to protect the data, and allow there to always be a searchable copy. Increase replication_factor=3 , to protect the data, and allow there to always be a searchable copy. Which strategy represents the minimum and least disruptive change necessary to protect the searchability of the indexer cluster in case of indexer failure?


Definitions:

Confidence Interval

A sequence of numerical figures, extracted from sampling data, likely to hold the value of an unobserved population parameter.

Standard Error

A measure of the dispersion or spread of sample means around the population mean in statistics.

Simple Random Sampling

A sampling method where each member of a population has an equal chance of being included in the sample.

Confidence Interval

A range of values, derived from the sample data, that is likely to contain the value of an unknown population parameter.

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