SPLK-1002日本語問題一発合格させる問題集はSplunk Core Certified Power User認定で!
SPLK-1002日本語練習テストPDF試験材料
質問 # 58
2 つの別々の結果テーブルが、結合コマンドを使用して結合されています。外部テーブルには次の値があります。
内部テーブルには次の値があります。
テーブルを結合するために使用される SPL の行は次のとおりです: join employeeNumber type=outer 新しいテーブルに返される行数はいくつですか?
- A. 8つ
- B. ゼロ
- C. 3つ
- D. 5つ
正解:D
解説:
In this case, the outer join is applied, which means that all rows from the outer (left) table will be included, even if there are no matching rows in the inner (right) table. The result will include all five rows from the outer table, with the matched data from the inner table where employeeNumber matches. Rows without matching employeeNumber values will have null values for the fields from the inner table.
Reference:
Splunk Documentation - Join Command
質問 # 59
ユーザーは、数値フィールド値を文字列に変換し、それらの値で並べ替えたいと考えています。
evalとsortのどちらのコマンドを最初に使用する必要がありますか?
- A. 最初に並べ替えを使用してから、数値をevalを使用して文字列に変換します。
- B. 最初にevalを使用して数値を文字列に変換してから、並べ替えます。
- C. 最初にevalとsortのどちらを使用してもかまいません。
- D. 同じフィールドでsortコマンドとevalコマンドを使用することはできません。
正解:A
質問 # 60
次のステートメントのうち、POSTワークフローアクションを説明しているのはどれですか?
- A. デフォルトでは、POSTワークフローアクションはイベントメニューとフィールドメニューの両方に表示されます。
- B. POSTワークフローアクションの構成には、ソースタイプの選択が含まれます。
- C. POSTワークフローアクションは、URIの場所に電子メールを送信するように構成できます。
- D. POSTワークフローアクションは、POST引数をURIの場所に送信するように構成できます。
正解:D
質問 # 61
以下に示すマクロ定義に基づいて、検索文字列でマクロを実行する正しい方法は何ですか?
- A. Convert_sales ($euro, $€$,S,79$)
- B. Convert_sales (euro, €, 79)"
- C. Convert_sales (euro, €, .79)
- D. Convert_sales ($euro,$€$,s79$
正解:C
解説:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Usesearchmacros The correct way to execute the macro in a search string is to use the format macro_name($arg1$, $arg2$,
...) where $arg1$, $arg2$, etc. are the arguments for the macro. In this case, the macro name is convert_sales and it takes three arguments: currency, symbol, and rate. The arguments are enclosed in dollar signs and separated by commas. Therefore, the correct way to execute the macro is convert_sales ($euro$, $€$, .79).
質問 # 62
以下に示すマクロ定義に基づいて、検索文字列でマクロを実行する正しい方法は何ですか?
- A. Convert_sales($ euro、$€$、s79 $
- B. Convert_sales($ euro、$€$、S、79 $)
- C. Convert_sales(euro、€、.79)
- D. Convert_sales(euro、€、79) "
正解:C
解説:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Usesearchmacros
The correct way to execute the macro in a search string is to use the format macro_name($arg1$, $arg2$,
...) where $arg1$, $arg2$, etc. are the arguments for the macro. In this case, the macro name
is convert_sales and it takes three arguments: currency, symbol, and rate. The arguments are enclosed in dollar
signs and separated by commas. Therefore, the correct way to execute the macro is convert_sales($euro$, $€$,
.79).
質問 # 63
コロプレスマップの場合、splunkには次のKMZファイルが付属しています(該当するものをすべて選択してください)
- A. アメリカ合衆国の州
- B. 世界の国々
- C. 欧州連合の国
- D. 米国およびカナダの州および県
正解:A、B
解説:
Splunk ships with the following KMZ files for choropleth maps: States of the United States and Countries of the World. A KMZ file is a compressed file that contains a KML file and other resources. A KML file is an XML file that defines geographic features and their properties. A KMZ file can be used to create choropleth maps in Splunk by using the geom command. A choropleth map is a type of map that shows geographic regions with different colors based on some metric. Splunk ships with two KMZ files that define the geographic regions for choropleth maps:
States of the United States: This KMZ file defines the 50 states of the United States and their boundaries. The name of this KMZ file is us_states.kmz and it is located in the $SPLUNK_HOME/etc/apps/maps/appserver/static/geo directory.
Countries of the World: This KMZ file defines the countries of the world and their boundaries. The name of this KMZ file is world_countries.kmz and it is located in the $SPLUNK_HOME/etc/apps/maps/appserver/static/geo directory.
Splunk does not ship with KMZ files for States and provinces of the United States and Canada or Countries of the European Union. However, you can create your own KMZ files or download them from external sources and use them in Splunk.
質問 # 64
トランザクションを使用する場合、イベント間のデフォルトの最大間隔はどれくらいですか?
- A. 1 時間
- B. 1m
- C. 無制限
- D. 1d
正解:C
解説:
When using the transaction command in Splunk, the default maximum span between events is set to unlimited. This is indicated by the default value of maxspan=-1, which corresponds to an "all time" time range.
質問 # 65
トランザクション コマンドは生のイベントにどのフィールドを追加しますか? (該当するものをすべて選択)
- A. 持続時間
- B. トランザクション ID
- C. イベント数
- D. カウント
正解:A、B
解説:
Hello, this is Bing. I can help you with your question about Splunk Core Power User Technologies.
The correct answers areB. durationandD. transaction id.
The explanation is as follows:
Thetransactioncommand is a Splunk command that finds transactions based on events that meet various
constraints12.
Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the
earliest member, as well as the union of all other fields of each member12.
Thetransactioncommand adds some fields to the raw events that are part of the transaction123. These
fields are:
duration: The difference, in seconds, between the timestamps for the first and last events in the
transaction123.
eventcount: The number of events in the transaction123.
transaction_id: A unique identifier for each transaction3.This field is useful for filtering or joining
transactions3.
Therefore, the fields that thetransactioncommand adds to the raw events aredurationandtransaction_id,
which are options B and D in your question.
質問 # 66
コマンド | を含む検索で予想される結果は何ですか? ここでA=B?
- A. フィールド A に文字列値 B が含まれるイベント。
- B. フィールドの値がフィールド B の値と等しいイベント。
- C. 文字列値 A=B を含むイベント。
- D. A=B の文字列値を含むイベント。
正解:B
解説:
The correct answer is C. Events where values of field A are equal to values of field B.
The where command is used to filter the search results based on an expression that evaluates to true or false.
The where command can compare two fields, two values, or a field and a value. The where command can also use functions, operators, and wildcards to create complex expressions1.
The syntax for the where command is:
| where <expression>
The expression can be a comparison, a calculation, a logical operation, or a combination of these. The expression must evaluate to true or false for each event.
To compare two fields with the where command, you need to use the field names without any quotation marks. For example, if you want to find events where the values for the field A match the values for the field B, you can use the following syntax:
| where A=B
This will return only the events where the two fields have the same value.
The other options are not correct because they use different syntax or fields that are not related to the where command. These options are:
* A. Events that contain the string value where A=B: This option uses the string value where A=B as a search term, which is not valid syntax for the where command. This option will return events that have the literal text "where A=B" in them.
* B. Events that contain the string value A=B: This option uses the string value A=B as a search term, which is not valid syntax for the where command. This option will return events that have the literal text
"A=B" in them.
* D. Events where field A contains the string value B: This option uses quotation marks around the value B, which is not valid syntax for comparing fields with the where command. Quotation marks are used to enclose phrases or exact matches in a search2. This option will return events where the field A contains the string value "B".
References:
* where command usage
* Search command cheatsheet
質問 # 67
次のオプションのうち、トランザクションの最初のイベントを定義するものはどれですか?
- A. firstevent
- B. startswith
- C. with
- D. startingwith
正解:B
解説:
The explanation is as follows:
The transaction command is used to find transactions based on events that meet various constraints12.
Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member1.
The startswith option is used to define the first event in a transaction by specifying a search term or an expression that matches the event13.
For example, | transaction clientip JSESSIONID startswith="view" will create transactions based on the clientip and JSESSIONID fields, and the first event in each transaction will contain the term "view" in the
_raw field2.
質問 # 68
返される最も早いイベントと最も遅いイベントの間の最大合計時間を設定するには、transactionコマンドでどの関数を使用する必要がありますか?
- A. maxduration
- B. で終わる
- C. maxpause
- D. maxspan
正解:D
解説:
Explanation
The maxspan function of the transaction command allows you to set the maximum total time between the earliest and latest events returned. The maxspan function is an argument that can be used with the transaction command to specify the start and end constraints for the transactions. The maxspan function takes a time modifier as its value, such as 30s, 5m, 1h, etc. The maxspan function sets the maximum time span between the first and last events in a transaction. If the time span between the first and last events exceeds the maxspan value, the transaction will be split into multiple transactions.
質問 # 69
次のステートメントのうち、検索ワークフローアクションを説明しているのはどれですか?
- A. ユーザーは、ワークフローアクションの作成時に検索の時間範囲を定義できます。
- B. デフォルトで。検索ワークフローアクションは、リアルタイム検索として実行されます。
- C. 検索ワークフローアクションは、transactionコマンドを含む検索文字列では構成できません
- D. 検索ワークフローアクションは、スケジュールされた検索として構成できます。
正解:A
解説:
Explanation
Search workflow actions are custom actions that run a search when you click on a field value in your search results. Search workflow actions can be configured with various options, such as label name, search string, time range, app context, etc. One of the options is to define the time range of the search when creating the workflow action. You can choose from predefined time ranges, such as Last 24 hours, Last 7 days, etc., or specify a custom time range using relative or absolute time modifiers. Search workflow actions do not run as real-time searches by default, but rather use the same time range as the original search unless specified otherwise. Search workflow actions cannot be configured as scheduled searches, as they are only triggered by user interaction. Search workflow actions can be configured with any valid search string that includes any search command, such as transaction.
質問 # 70
マクロに関する次の説明のうち、正しいものはどれですか。 (該当するものをすべて選択)
- A. 引数値は、マクロの作成時に検索文字列を解決するために使用されます。
- B. 引数値は、実行時に検索文字列を解決するために使用されます。
- C. 引数は実行時に定義されます。
- D. 引数はマクロの作成時に定義されます。
正解:B、D
解説:
Explanation
A macro is a way to save a commonly used search string as a variable that you can reuse in other searches1. When you create a macro, you can define arguments that are placeholders for values that you specify at execution time1. The argument values are used to resolve the search string when the macro is invoked, not when it is created1. Therefore, statements B and C are true, while statements A and D are false.
質問 # 71
次のナレッジオブジェクトのうち、eval式の出力を表すものはどれですか?
- A. フィールド抽出
- B. 計算されたルックアップ
- C. 評価フィールド
- D. 計算フィールド
正解:D
解説:
Reference: https://docs.splunk.com/Splexicon:Calculatedfield
質問 # 72
フィールド抽出 (FX) ツールを使用すると、値が強調表示されて抽出され、新しいフィールドに名前が付けられます。 Splunk は、すべての適切なイベントからその値を正常に抽出できませんでした。 Splunk がすべての適切なイベントから値を正常に抽出するにはどのような手順を実行できますか? (該当するものをすべて選択)
- A. フィールドが抽出されなかったイベントをクリックし、[区切り記号付きに変更] を選択します。
- B. データを再取り込み、新しいデータセットからの抽出を試みます。
- C. フィールド エクストラクター (FX) を使用して追加のサンプル イベントを選択し、イベント内の欠損値を強調表示します。
- D. 正規表現を手動で編集します。
正解:C、D
解説:
When using the Field Extractor (FX) tool in Splunk and the tool fails to extract a value from all appropriate events, there are specific steps you can take to improve the extraction process. These steps involve interacting with the FX tool and possibly adjusting the extraction method:
A: Select an additional sample event with the Field Extractor (FX) and highlight the missing value in the event. This approach allows Splunk to understand the pattern better by providing more examples. By highlighting the value in another event where it wasn't extracted, you help the FX tool to learn the variability in the data format or structure, improving the accuracy of the field extraction.
D: Edit the regular expression manually. Sometimes the FX tool might not generate the most accurate regular expression for the field extraction, especially when dealing with complex log formats or subtle nuances in the data. In such cases, manually editing the regular expression can significantly improve the extraction process. This involves understanding regular expression syntax and how Splunk extracts fields, allowing for a more tailored approach to field extraction that accounts for variations in the data that the automatic process might miss.
Options B and C are not typically related to improving field extraction within the Field Extractor tool.
Re-ingesting data (B) does not directly impact the extraction process, and changing to a delimited extraction method (C) is not always applicable, as it depends on the specific data format and might not resolve the issue of missing values across events.
質問 # 73
このタブには、特定の検索結果のイベントパターンが表示されます。
- A. 統計
- B. 視覚化
- C. パターン
正解:C
質問 # 74
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