When troubleshooting monitor inputs, which command checks the status of the tailed files?
Answer(s): C
The curl https://serverhost:8089/services/admin/inputstatus/TailingProcessor:FileStatus command is used to check the status of the tailed files when troubleshooting monitor inputs. Monitor inputs are inputs that monitor files or directories for new data and send the data to Splunk for indexing. The TailingProcessor:FileStatus endpoint returns information about the files that are being monitored by the Tailing Processor, such as the file name, path, size, position, and status. The splunk cmd btool inputs list | tail command is used to list the inputs configurations from the inputs.conf file and pipe the output to the tail command. The splunk cmd btool check inputs layer command is used to check the inputs configurations for syntax errors and layering. The curl https://serverhost:8089/services/admin/inputstatus/TailingProcessor:Tailstatus command does not exist, and it is not a valid endpoint.
Which of the following is a best practice to maximize indexing performance?
Answer(s): D
A best practice to maximize indexing performance is to minimize configuration generality. Configuration generality refers to the use of generic or default settings for data inputs, such as source type, host, index, and timestamp. Minimizing configuration generality means using specific and accurate settings for each data input, which can reduce the processing overhead and improve the indexing throughput. Using automatic source typing, using the Splunk default settings, and not using pre-trained source types are examples of configuration generality, which can negatively affect the indexing performance
When should multiple search pipelines be enabled?
Multiple search pipelines should be enabled only if CPU and memory resources are significantly under-utilized. Search pipelines are the processes that execute search commands and return results. Multiple search pipelines can improve the search performance by running concurrent searches in parallel. However, multiple search pipelines also consume more CPU and memory resources, which can affect the overall system performance. Therefore, multiple search pipelines should be enabled only if there are enough CPU and memory resources available, and if the system is not bottlenecked by disk I/O or network bandwidth. The number of concurrent users, the disk IOPS, and the Splunk Enterprise version are not relevant factors for enabling multiple search pipelines
Of the following types of files within an index bucket, which file type may consume the most disk?
Answer(s): A
Of the following types of files within an index bucket, the rawdata file type may consume the most disk. The rawdata file type contains the compressed and encrypted raw data that Splunk has ingested. The rawdata file type is usually the largest file type in a bucket, because it stores the original data without any filtering or extraction. The bloom filter file type contains a probabilistic data structure that is used to determine if a bucket contains events that match a given search. The bloom filter file type is usually very small, because it only stores a bit array of hashes. The metadata (.data) file type contains information about the bucket properties, such as the earliest and latest event timestamps, the number of events, and the size of the bucket. The metadata file type is also usually very small, because it only stores a few lines of text. The inverted index (.tsidx) file type contains the time-series index that maps the timestamps and event IDs of the raw data. The inverted index file type can vary in size depending on the number and frequency of events, but it is usually smaller than the rawdata file type
When converting from a single-site to a multi-site cluster, what happens to existing single-site clustered buckets?
When converting from a single-site to a multi-site cluster, existing single-site clustered buckets will maintain replication as required according to the single-site policies, but never age out. Single-site clustered buckets are buckets that were created before the conversion to a multi-site cluster. These buckets will continue to follow the single-site replication and search factors, meaning that they will have the same number of copies and searchable copies across the cluster, regardless of the site. These buckets will never age out, meaning that they will never be frozen or deleted, unless they are manually converted to multi-site buckets. Single-site clustered buckets will not continue to replicate within the origin site, because they will be distributed across the cluster according to the single-site policies. Single-site clustered buckets will not be replicated across all peers in the multi-site cluster, because they will follow the single-site replication factor, which may be lower than the multi-site total replication factor. Single-site clustered buckets will not stop replicating within the single-site and remain on the indexer they reside on, because they will still be subject to the replication and availability rules of the cluster
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