SPLK-2002 Data Lifecycle Management Practice Test 3 — 15 Questions

Question 1

An indexer cluster is suffering from 'bucket repair' loops. What is the most likely cause related to the bucket lifecycle?

Accepted Answer

Bucket corruption preventing indexer recovery. Bucket repair loops in an indexer cluster occur when the cluster master repeatedly attempts to fix or replicate a bucket that cannot reach a healthy state, usually because the bucket's data files are corrupted on disk. Corruption prevents the indexer from validating the bucket checksum, so the master keeps triggering repair operations that fail again, producing the loop.

Answer

Insufficient replication factor

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Excessive search concurrency

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Misconfigured cold path

Question 2

Which metric is the best predictor of the storage needed for an indexer in a cluster?

Accepted Answer

Daily ingestion volume. Daily ingestion volume is the primary driver of indexer storage requirements because Splunk's storage footprint is a function of how much data is ingested per day multiplied by retention period and replication/search factor. Other metrics like forwarder count or user count do not directly determine bytes stored.

Answer

Number of forwarders

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Search concurrency

Answer

Number of users

Question 3

What is the purpose of the 'homePath.maxDataSizeMB' setting in indexes.conf?

Accepted Answer

Limits the total size of all hot/warm buckets in the homePath. homePath.maxDataSizeMB sets the maximum total size, in megabytes, of all hot and warm buckets stored in the index's homePath. When this limit is reached, Splunk rolls the oldest warm buckets to the coldPath to free space, making it a retention and capacity control for the homePath volume.

Answer

Sets the maximum size of a single hot bucket

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Limits the number of buckets to 100

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Sets the size limit for the cold path

Question 4

In a SmartStore architecture, what happens when a bucket is evicted from local cache?

Accepted Answer

The local disk space is freed. In SmartStore, buckets are cached locally on indexers for search performance, but when the cache fills, the cache manager evicts buckets back to remote storage (S3, Azure Blob, GCS). Eviction frees the local disk space occupied by that bucket's data, allowing new buckets to be cached. The bucket remains fully searchable because it can be re-fetched from remote storage on demand.

Answer

The bucket is moved to the cold path

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The bucket is no longer searchable

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The bucket is deleted from remote storage

Question 5

A user wants to restore data from frozen buckets. What is the process for making this data searchable again?

Accepted Answer

Copy to the thawedPath and use the 'rebuild' command. To restore frozen buckets, you copy the bucket files to the thawedPath directory defined in indexes.conf, then run the splunk rebuild command on that bucket directory to regenerate the necessary metadata (such as the .tsidx and bucket manifest files) so Splunk can search the data again. Simply placing files in the thawed path without rebuilding leaves the bucket unrecognized and unsearchable.

Answer

Directly copy files to the warm path

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Change the frozenTimePeriodInSecs

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Run 'splunk restore --bucket'

Question 6

Which configuration file and stanza are used to define the bucket lifecycle policy for a custom index named 'customer_data'?

Accepted Answer

indexes.conf [customer_data]. The bucket lifecycle policy for an index is defined in indexes.conf within the stanza for that index. The stanza name is the index name, so for 'customer_data', it's [customer_data]. This file contains settings like homePath, coldPath, frozenTimePeriodInSecs, and other retention-related parameters.

Answer

datamodels.conf [customer_data]

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server.conf [customer_data]

Answer

inputs.conf [customer_data]

Question 7

You need to reduce the number of small buckets created in your index. Which parameter should you increase?

Accepted Answer

maxDataSize. The maxDataSize parameter in indexes.conf controls the maximum size of a hot bucket before it rolls to warm. Increasing maxDataSize allows each bucket to hold more data, which reduces the total number of buckets created for a given volume of ingested data. This directly addresses the goal of reducing small buckets.

Answer

maxWarmDBCount

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frozenTimePeriodInSecs

Answer

minHotBuckets

Question 8

An architect is designing an index lifecycle for compliance. The requirement is to keep data for exactly 7 years. Which setting must be configured to prevent premature deletion?

Accepted Answer

frozenTimePeriodInSecs. frozenTimePeriodInSecs is the index-level setting in indexes.conf that defines the age (in seconds) at which buckets roll from cold to frozen, triggering deletion (or archival if a coldToFrozenScript/archiver is configured). Setting it to 7 years (220,752,000 seconds) ensures data is retained for exactly that period before being frozen. This is the only setting in the list that controls retention by time rather than by size or count.

Answer

maxTotalDataSizeMB

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maxWarmDBCount

Answer

maxHotSpanSecs

Question 9

Which THREE factors influence the disk I/O performance of an indexer cluster?

Accepted Answer

Search concurrency. Search concurrency (A) is correct because concurrent searches generate simultaneous read operations against index buckets, and higher concurrency increases disk I/O load and contention on the indexers. Daily ingestion volume (B) is correct because the volume of data ingested per day determines how much data must be written to disk, merged, and later read, directly driving I/O throughput and IOPS requirements. Storage latency/type (D) is correct because the underlying disk technology (SSD vs. HDD, RAID configuration, SAN/NAS latency) fundamentally bounds the achievable read/write performance of the indexer. Deployment server latency (C) is not a factor because the deployment server distributes configuration/apps to forwarders and does not handle index-time data path I/O. Number of users logged in (E) is not a direct factor because user count alone does not determine I/O; it is the searches and ingest those users generate that matter.

Answer

Deployment server latency

Answer

Number of users logged in

Question 10

What is the primary architectural trade-off when using very short 'maxHotSpanSecs' values?

Accepted Answer

Increased metadata overhead on the indexer. 'maxHotSpanSecs' defines the maximum time span a bucket can remain in the hot state before rolling to warm. Very short values cause buckets to roll frequently, creating many small buckets. Each bucket carries metadata (bloom filters, tsidx files, bucket manifest), so frequent rolling increases metadata overhead on the indexer and can degrade performance.

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Improved data ingestion speed

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Reduced search performance

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Increased compression efficiency

Question 11

Which THREE components are part of the Splunk index directory structure?

Accepted Answer

coldPath. In Splunk's indexes.conf, each index defines three path settings that make up its on-disk directory structure: coldPath (B), homePath (D), and thawedPath (E). homePath holds the hot and warm buckets (the newly written, actively searchable data), coldPath stores buckets that have rolled from warm to cold, and thawedPath is where archived buckets are restored when an admin runs the rebuild command to bring them back online. These three are the actual configurable path attributes of an index, so B, D, and E are correct. The other options are not valid index path settings: hotPath (A) and warmPath (C) do not exist as separate configuration keys because hot and warm buckets both reside under homePath, so they are not part of the index directory structure.

Answer

hotPath

Answer

warmPath

Question 12

Which TWO of these factors determine when a bucket rolls from hot to warm?

Accepted Answer

maxDataSize. In Splunk index lifecycle management, a bucket rolls from hot to warm based on the index's maxDataSize (option A), which sets the size threshold (in MB, or auto/auto_high_volume) that a hot bucket may reach before it rolls to warm, and maxHotSpanSecs (option D), which sets the maximum age in seconds a hot bucket may remain hot before rolling. These two settings are the specific hot-to-warm rollover triggers configured in indexes.conf. The other options do not govern this transition: maxWarmDBCount (B) limits how many warm buckets are retained before older ones roll to cold, maxTotalDataSizeMB (C) controls total index size for freezing/retention, and frozenTimePeriodInSecs (E) defines the retention period after which buckets are frozen and deleted.

Answer

maxWarmDBCount

Answer

maxTotalDataSizeMB

Answer

frozenTimePeriodInSecs

Question 13

Which TWO types of storage can be used for indexer data?

Accepted Answer

Object storage (SmartStore). Option D (Object storage (SmartStore)) is correct because Splunk indexers can store bucket data remotely in object storage such as S3, Azure Blob, or GCS via SmartStore, keeping only cache and metadata locally. Option E (Local attached storage) is correct because indexers traditionally write buckets to locally attached disks (e.g., direct-attached SAS/SATA/NVMe volumes) as their primary index storage. Option A (USB flash drives) is not a supported or recommended indexer storage medium due to reliability and performance limits. Option B (Search head cache) is incorrect because the search head cache accelerates searches and is not indexer data storage. Option C (Temporary memory storage) is incorrect because indexer data must persist; RAM is used only for transient in-memory processing, not as a storage type for indexer data.

Answer

USB flash drives

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Search head cache

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Temporary memory storage

Question 14

A Splunk architect is configuring a new index called `netflow` that must retain data for exactly 90 days, then delete it automatically. The index will receive high volume and is expected to grow significantly. Which setting in `indexes.conf` should the architect use to enforce this retention period, ensuring that buckets are removed from the index after 90 days?

Accepted Answer

frozenTimePeriodInSecs = 7776000. Retention in Splunk is controlled by `frozenTimePeriodInSecs`, which defines the age at which buckets are frozen. For the `netflow` index, setting it to 7776000 seconds (90 days) ensures that buckets older than 90 days are moved to frozen status and, without a frozen archive, deleted. This matches the requirement precisely.

Answer

coldToFrozenScript = 7776000

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maxDataSize = 7776000

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homePath.maxDataSizeMB = 7776000

Question 15

An architect is configuring a Splunk indexer cluster with SmartStore. The remote storage is an S3 bucket. To ensure data integrity and availability, the architect must configure the cluster to use a remote storage that supports which feature?

Accepted Answer

Strong read-after-write consistency. SmartStore relies on strong read-after-write consistency to ensure that uploaded buckets are immediately visible to all indexers. This guarantees that searches access the most recent data and prevents inconsistencies, making it a fundamental requirement for remote storage backends.

Answer

Cross-region replication

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Server-side encryption

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Object versioning