Question # 1
| A customer has written the following search: | | A. Option A | | B. Option B | | C. Option C | | D. Option D |
C. Option C
Explanation: The search can be rewritten to maximize efficiency by using the index option.
The index option is used to specify the index to search. This option is useful when you
have multiple indexes and want to search only one of them. The index option is also useful
when you want to search a specific index that is not the default index. The index option can
reduce the search time and resource consumption by limiting the scope of the search.
Question # 2
| A customer has asked for a five-node search head cluster (SHC), but does not have the
storage budget to use a replication factor greater than 2. They would like to understand
what might happen in terms of the users’ ability to view historic scheduled search results if
they log onto a search head which doesn’t contain one of the 2 copies of a given search
artifact.
Which of the following statements best describes what would happen in this scenario? | | A. The search head that the user has logged onto will proxy the required artifact over to
itself from a search head that currently holds a copy. A copy will also be replicated from
that search head permanently, so it is available for future use. | | B. Because the dispatch folder containing the search results is not present on the search
head, the user will not be able to view the search results. | | C. The user will not be able to see the results of the search until one of the search heads is
restarted, forcing synchronization of all dispatched artifacts across all search heads. | | D. The user will not be able to see the results of the search until the Splunk administrator
issues the apply shcluster-bundle command on the search head deployer, forcing
synchronization of all dispatched artifacts across all search heads. |
A. The search head that the user has logged onto will proxy the required artifact over to
itself from a search head that currently holds a copy. A copy will also be replicated from
that search head permanently, so it is available for future use.
Explanation: The search head that the user has logged onto will proxy the required
artifact over to itself from a search head that currently holds a copy. A copy will also be
replicated from that search head permanently, so it is available for future use. This is how
the search head cluster handles search artifacts and ensures that they are accessible to all
cluster members, regardless of the replication factor. The replication factor only determines
the number of copies of each search artifact that the cluster maintains, not the availability
of the search results to the users. The other options are incorrect because they imply that
the user will not be able to view the search results or that some manual intervention is
required to synchronize the artifacts across the search heads, which is not true.
Question # 3
| A customer has three users and is planning to ingest 250GB of data per day. They are
concerned with search uptime, can tolerate up to a two-hour downtime for the search tier,
and want advice on single search head versus a search head cluster. (SHC).
Which recommendation is the most appropriate? | | A. The customer should deploy two active search heads behind a load balancer to support
HA.
| | B. The customer should deploy a SHC with a single member for HA; more members can
be added later.
| | C. The customer should deploy a SHC, because it will be required to support the high
volume of data.
| | D. The customer should deploy a single search head with a warm standby search head
and a rsync process to synchronize configurations. |
D. The customer should deploy a single search head with a warm standby search head
and a rsync process to synchronize configurations.
Explanation: The most efficient search is the one that retrieves the least amount of data
from the indexes and performs the least amount of processing on the search head. Among
the four options, the most efficient search is D, (index=www) OR (index=sales) | search
(index=www status=200 uri=/cart/checkout) OR (index=sales) | stats count, sum(revenue)
as total_revenue by session_id | table total_revenue session_id. This is because:
-
It uses a base search to limit the data to only two indexes, www and sales, which
are relevant for the query.
-
It uses a subsearch to further filter the data by status and uri for the www index,
and by index for the sales index.
-
It uses a stats command to aggregate the data by session_id and calculate the
count and total revenue.
-
It uses a table command to display only the required fields.
The other options are less efficient for various reasons:
-
Option A uses an append command, which is expensive and can cause memory
issues. It also does not filter the data by status and uri for the www index, which
can retrieve more data than needed.
-
Option B uses a boolean OR operator, which can be slower than a subsearch. It
also does not filter the data by status and uri for the www index, which can retrieve
more data than needed.
-
Option C does not use a base search to limit the data to specific indexes, which
can retrieve more data than needed. It also uses an append command, which is
expensive and can cause memory issues.
Therefore, the correct answer is D, (index=www) OR (index=sales) | search (index=www
status=200 uri=/cart/checkout) OR (index=sales) | stats count, sum(revenue) as
total_revenue by session_id | table total_revenue session_id.
Question # 4
| A customer has 30 indexers in an indexer cluster configuration and two search heads.
They are working on writing SPL search for a particular use-case, but are concerned that it
takes too long to run for short time durations.
How can the Search Job Inspector capabilities be used to help validate and understand the
customer concerns? | | A. Search Job Inspector provides statistics to show how much time and the number of
events each indexer has processed. | | B. Search Job Inspector provides a Search Health Check capability that provides an
optimized SPL query the customer should try instead. | | C. Search Job Inspector cannot be used to help troubleshoot the slow performing search;
customer should review index=_introspection instead. | | D. The customer is using the transaction SPL search command, which is known to be slow. |
A. Search Job Inspector provides statistics to show how much time and the number of
events each indexer has processed.
Explanation: Search Job Inspector provides statistics to show how much time and the
number of events each indexer has processed. This can help validate and understand the
customer’s concerns about the search performance and identify any bottlenecks or issues
with the indexer cluster configuration. For example, the Search Job Inspector can show if
some indexers are overloaded or underutilized, if there are network latency or bandwidth
problems, or if there are errors or warnings during the search execution. The Search Job
Inspector can also show how much time each search command takes and how many
events are processed by each command.
Question # 5
| What happens when an index cluster peer freezes a bucket? | | A. All indexers with a copy of the bucket will delete it.
| | B. The cluster master will ensure another copy of the bucket is made on the other peers to
meet the replication settings.
| | C. The cluster master will no longer perform fix-up activities for the bucket.
| | D. All indexers with a copy of the bucket will immediately roll it to frozen. |
C. The cluster master will no longer perform fix-up activities for the bucket.
Explanation: When an index cluster peer freezes a bucket, it means that the bucket has
reached the end of its retention period and is either deleted or archived, depending on the
configuration. When a bucket is frozen, the cluster master will no longer perform fix-up
activities for the bucket, such as replicating it to other peers or promoting it to primary. The
cluster master will also update its list of buckets and remove the frozen bucket from the
peer’s inventory. Therefore, the correct answer is C. The cluster master will no longer
perform fix-up activities for the bucket.
Question # 6
| Where are Splunk Data Model Acceleration (DMA) summaries stored? | | A. In tstatsHomePath
| | B. In the .tsidx files.
| | C. In summaryHomePath
| | D. In journal.gz |
C. In summaryHomePath
Explanation: Splunk Data Model Acceleration (DMA) summaries are stored in
summaryHomePath, which is an attribute in the indexes.conf file that specifies the location
of the summary files for data model acceleration. By default, the summaryHomePath is set
to $SPLUNK_DB//summary, where $SPLUNK_DB is the root directory for
all index data. The summary files are CSV files that contain precomputed summary data
relevant to the data model. Therefore, the correct answer is C, in summaryHomePath.
Question # 7
| A non-ES customer has a concern about data availability during a disaster recovery event.
Which of the following Splunk Validated Architectures (SVAs) would be recommended for
that use case? | | A. Topology Category Code: M4
| | B. Topology Category Code: M14
| | C. Topology Category Code: C13
| | D. Topology Category Code: C3 |
B. Topology Category Code: M14
Explanation: The Topology Category Code: M14 would be recommended for a non-ES
customer who has a concern about data availability during a disaster recovery event. This is because this topology provides high availability and disaster recovery for both the search
head and the indexer layer, as well as load balancing and data replication. The M14
topology consists of two search head clusters, each with a minimum of three search heads,
and two indexer clusters, each with a minimum of three indexers. The search head clusters
are connected to their respective indexer clusters via the cluster master, and the indexer
clusters are replicated across two sites using the site replication factor. This ensures that
the data is available in both sites and can be searched by either search head cluster in
case of a site failure.
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