SPLK-1004学習範囲、SPLK-1004合格記専門的な学習資料なしでSPLK-1004試験の準備をするのは時間がかかり、疲れる場合があります。そのため、SPLK-1004学習ツールを学習パートナーとして選択するのが最善の決断です。また、SPLK-1004学習ツールは、多数の受験者に実際の試験に関するより良い視点を提供します。 SPLK-1004の最新の練習資料の研究に特化してきた今、私たちは無限の努力で多数の顧客を処理し、SPLK-1004試験ガイドがあなたの満足に浸透すると信じています。
Splunk SPLK-1004認定は、データ分析分野のプロフェッショナルにとって非常に狙い目の認定資格です。この認定資格は、Splunkプラットフォームを使用してデータを取り扱い分析するプロフェッショナルの高度な知識やスキルをテストするために設計されています。これは、プロフェッショナルがSplunkを最大限活用する専門的な能力を証明する業界標準の認定資格です。 Splunk Core Certified Advanced Power User 認定 SPLK-1004 試験問題 (Q42-Q47):質問 # 42
When possible, what is the best choice for summarizing data to improve search performance?
A. Report acceleration
B. Data model acceleration
C. Summary indexing
D. Use the fieldsummary command.
正解：B
解説：
When possible,data model accelerationis the best choice for summarizing data to improve search performance. It is specifically designed for optimizing searches over large datasets and complex data models.
Here's why this works:
* Data Model Acceleration: Data model acceleration precomputes summaries of data models, enabling faster pivot operations and searches. It is ideal for use cases involving large datasets and complex relationships between fields.
* Performance Benefits: By accelerating data models, Splunk reduces the computational overhead of searching raw data, making it significantly faster to generate reports and visualizations.
Other options explained:
* Option A: Incorrect because summary indexing is better suited for aggregating data over long time ranges but is less flexible than data model acceleration.
* Option C: Incorrect because report acceleration is limited to specific reports and does not provide the same level of flexibility as data model acceleration.
* Option D: Incorrect because thefieldsummarycommand provides statistical summaries of fields but does not improve search performance for large datasets.
Example: To enable data model acceleration:
* Navigate toSettings > Data Modelsin Splunk.
* Select the data model you want to accelerate.
* Configure acceleration settings, such as the summary range and update frequency.
References:
* Splunk Documentation on Data Model Acceleration:https://docs.splunk.com/Documentation/Splunk
/latest/Knowledge/Acceleratedatamodels
* Splunk Documentation on Summary Indexing:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Usesummaryindexing
質問 # 43
How can the inspect button be disabled on a dashboard panel?
A. Set link.inspect.visible to 0
B. Set inspect.link.disabled to 1
C. Set link.inspectSearch.visible to 0
D. Set link.search.disabled to 1
正解：A
解説：
To disable the inspect button on a dashboard panel, set the link.inspect.visible attribute to 0. This hides the button, preventing users from accessing the search inspector for that panel.
質問 # 44
How can the inspect button be disabled on a dashboard panel?
A. Set link.inspect.visible to 0
B. Set inspect.link.disabled to 1
C. Set link.inspectSearch.visible to 0
D. Set link.search.disabled to 1
正解：A
解説：
To disable the inspect button on a dashboard panel, set the link.inspect.visible attribute to 0. This hides the button, preventing users from accessing the search inspector for that panel.
To disable theInspect buttonon a dashboard panel in Splunk, you need to set the attributelink.inspect.visible to0. This hides the Inspect button for that specific panel.
Here's why this works:
* Purpose of link.inspect.visible: Thelink.inspect.visibleattribute controls the visibility of the Inspect button in a dashboard panel. Setting it to0disables the button, while setting it to1(default) keeps it visible.
* Customization: This is useful when you want to restrict users from inspecting the underlying search queries or data for a specific panel.
質問 # 45
Which of the following Is valid syntax for the split function?
A. ...| eval phoneNumber split("-", 3, areaCodes)
B. ...| eval split phoneNUmber by "_" as areaCodes.
C. ...| eval split (phone-Number, "_", areaCodes)
D. ...| eval areaCodes = split (phonNumber, "_"
正解：D
解説：
The valid syntax for using the split function in Splunk is ... | eval areaCodes = split(phoneNumber, "_") (Option B). The split function divides a string into an array of substrings based on a specified delimiter, in this case, an underscore. The resulting array is stored in the new field areaCodes.
質問 # 46
Which is generally the most efficient way to run a transaction?
A. Using| sortbefore thetransactioncommand.
B. Run the search query in Smart Mode.
C. Rewrite the query usingstatsinstead oftransaction.
D. Run the search query in Fast Mode.
正解：C
解説：
Comprehensive and Detailed Step by Step Explanation:The most efficient way to run a transaction is to rewrite the query using stats instead of transactionwhenever possible. Thetransactioncommand is computationally expensive because it groups events based on complex criteria (e.g., time constraints, shared fields, etc.) and performs additional operations like concatenation and duration calculation.
Here's whystatsis more efficient:
* Performance: Thestatscommand is optimized for aggregating and summarizing data. It is faster and uses fewer resources compared totransaction.
* Use Case: If your goal is to group events and calculate statistics (e.g., count, sum, average),statscan often achieve the same result without the overhead oftransaction.
* Limitations of transaction: Whiletransactionis powerful, it is best suited for specific use cases where you need to preserve the raw event data or calculate durations between events.
Example: Instead of:
| transaction session_id
You can use:
| stats count by session_id
Other options explained:
* Option A: Incorrect because Smart Mode does not inherently optimize thetransactioncommand.
* Option B: Incorrect because sorting beforetransactionadds unnecessary overhead and does not address the inefficiency oftransaction.
* Option C: Incorrect because Fast Mode prioritizes speed but does not change howtransactionoperates.
References:
* Splunk Documentation ontransaction:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/Transaction
* Splunk Documentation onstats:https://docs.splunk.com/Document ... est/SearchReference
/Stats