面试题与答案
Intermediate / 1 to 5 years experienced level questions & answers
Ques 1. What is Splunk and how does it work?
Splunk is a software platform used for searching, monitoring, and analyzing machine-generated data. It works by ingesting data, indexing it, and providing a search interface for users.
Example:
Splunk can be used to analyze log files, monitor server performance, and gain insights from various data sources.
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Ques 2. Explain the difference between a search head and an indexer in Splunk.
A search head is responsible for searching and visualizing data, while an indexer is responsible for indexing and storing data. In a distributed Splunk environment, these roles can be separate.
Example:
When a user executes a search in Splunk, the search head sends the request to the indexer, which then retrieves the relevant data and sends it back to the search head for display.
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Ques 3. How do you create a dashboard in Splunk?
Dashboards in Splunk are created using the Splunk Web interface. Users can add panels, visualizations, and searches to create a customized dashboard.
Example:
To create a dashboard showing server performance, add panels with line charts for CPU usage, memory usage, and network activity.
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Ques 4. What is a Splunk index and how is it used?
In Splunk, an index is a repository where the data is stored. Indexes help organize and manage the data for efficient searching and retrieval.
Example:
You can create separate indexes for different types of data, such as 'web_logs' or 'security_events', to streamline searching and analysis.
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Ques 5. Explain the use of lookup tables in Splunk.
Lookup tables in Splunk are external files or tables used to enrich or modify data during searches. They can be used to map fields or add additional information to events.
Example:
You can use a lookup table to map IP addresses to geographic locations and enhance your analysis with location-based insights.
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Ques 6. What is the Splunk Common Information Model (CIM)?
The Splunk Common Information Model (CIM) is a standardized framework for normalizing and organizing data in Splunk. It provides a common language for data models and field extractions.
Example:
CIM helps ensure consistency in data interpretation across different data sources, making it easier to correlate and analyze events.
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Ques 7. What is the role of the Splunk Deployment Server?
The Splunk Deployment Server is used for managing configurations across multiple Splunk instances. It helps in distributing apps, configurations, and updates consistently.
Example:
If you have a large environment with multiple indexers, the Deployment Server can ensure uniform configurations across all of them.
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Ques 8. Explain the purpose of the Splunk Knowledge Objects.
Splunk Knowledge Objects include fields, event types, tags, and more. They help in customizing the way Splunk indexes and extracts information from data.
Example:
Creating a custom field to extract specific information from log data is an example of using Splunk Knowledge Objects.
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Ques 9. What is the purpose of Splunk Apps and Add-ons?
Splunk Apps and Add-ons extend the functionality of Splunk by providing pre-built features, visualizations, and data inputs for specific use cases or data sources.
Example:
The Splunk App for AWS provides dashboards and searches tailored for analyzing AWS CloudTrail logs.
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Ques 10. Explain the difference between a data input and a data source in Splunk.
A data input in Splunk refers to the method used to bring data into Splunk (e.g., files, network protocols). A data source is the actual origin of the data (e.g., log files, databases).
Example:
Monitoring a file with a Splunk forwarder is an example of a data input, and the file itself is the data source.
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Ques 11. How can you create alerts in Splunk?
Alerts in Splunk are created using the 'Alert' tab on the search results page. Users can set conditions and actions to trigger alerts based on specific criteria.
Example:
Create an alert to notify when the number of failed login attempts exceeds a certain threshold.
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Ques 12. What is the purpose of Splunk lookups?
Splunk lookups are used to enrich or modify events by adding fields from an external data source. They can be static or dynamic and are helpful in correlating data.
Example:
Using a lookup to add information like department names based on user IDs in log events.
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Ques 13. Explain the concept of Splunk Search Language (SPL).
SPL is the search language used in Splunk for querying and analyzing data. It includes commands, functions, and operators to manipulate and extract information from events.
Example:
sourcetype=apache status=500 | stats count by clientip
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Ques 14. How can you use the 'rex' command in Splunk?
The 'rex' command is used in Splunk to extract fields from raw event data using regular expressions. It helps in creating structured fields from unstructured data.
Example:
| rex field=_raw "error message: (?.*)"
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Ques 15. What is Splunk's role in IT Operations and Security?
In IT Operations, Splunk is used for monitoring and troubleshooting systems, applications, and infrastructure. In Security, it helps in detecting and responding to security incidents through log analysis and correlation.
Example:
Using Splunk to monitor system logs for unusual activities that might indicate a security threat.
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Ques 16. Explain the concept of Splunk Data Models.
Splunk Data Models provide a way to organize and accelerate data for common use cases. They include pre-built structures that simplify the process of searching and analyzing specific types of data.
Example:
Using the 'Network_Traffic' data model to analyze network-related events with pre-built extractions and correlations.
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Ques 17. How can you use the 'transaction' command in Splunk?
The 'transaction' command in Splunk is used to group related events together based on a common field or set of fields. It helps in analyzing multi-event transactions.
Example:
| transaction sessionID startswith="Login" endswith="Logout"
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Ques 18. What is the purpose of Splunk's Summary Indexing?
Summary Indexing in Splunk involves creating summarized data from large datasets, making it faster to retrieve specific information during searches. It is useful for long-term trend analysis.
Example:
Creating a summary index that aggregates daily sales data for faster monthly and yearly reporting.
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Ques 19. How does Splunk handle timestamp recognition in log events?
Splunk automatically recognizes timestamps in log events based on a variety of formats. Users can also configure timestamp recognition using the 'TIME_PREFIX' and 'TIME_FORMAT' settings.
Example:
Configuring timestamp recognition for log events with a timestamp format like 'yyyy-MM-dd HH:mm:ss'
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Ques 20. What is the purpose of Splunk's REST API?
Splunk's REST API allows users to programmatically interact with Splunk, perform searches, retrieve results, and manage configurations. It is useful for automation and integration with other systems.
Example:
Using the REST API to automate the creation of alerts or retrieve search results in a custom application.
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Ques 21. Explain the concept of Splunk Heavy Forwarder.
A Splunk Heavy Forwarder is a specialized instance that can perform additional data processing tasks before forwarding the data to the indexer. It is used for heavy lifting in terms of data transformation and enrichment.
Example:
Using a Heavy Forwarder to anonymize sensitive information in log events before sending them to the indexer.
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Ques 22. What is the purpose of Splunk's 'Field Extractions'?
Field Extractions in Splunk involve defining rules to extract specific fields from raw data. This helps in making unstructured data more structured for analysis.
Example:
Creating a field extraction rule to extract a custom field 'transactionID' from log events containing transaction information.
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Ques 23. How can you monitor Windows event logs with Splunk?
Splunk can monitor Windows event logs using the Splunk Universal Forwarder. By configuring inputs for specific event logs, you can index and analyze Windows events in Splunk.
Example:
Configuring a Splunk Universal Forwarder to forward Security event logs from Windows servers to the Splunk indexer.
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Ques 24. Explain the role of 'props.conf' in Splunk.
'props.conf' in Splunk is a configuration file used to specify settings for data processing, such as field extractions, character set encoding, and event line breaking.
Example:
Setting a custom timestamp format for log events in 'props.conf' to ensure accurate timestamp extraction during indexing.
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| EJB 面试题与答案 - Total 80 questions |
| Java 15 面试题与答案 - Total 16 questions |
| Java Multithreading 面试题与答案 - Total 30 questions |
| Apache Wicket 面试题与答案 - Total 26 questions |
| Core Java 面试题与答案 - Total 306 questions |
| JBoss 面试题与答案 - Total 14 questions |
| Log4j 面试题与答案 - Total 35 questions |
| ITIL 面试题与答案 - Total 25 questions |
| Finance 面试题与答案 - Total 30 questions |
| JIRA 面试题与答案 - Total 30 questions |
| SAP MM 面试题与答案 - Total 30 questions |
| SAP ABAP 面试题与答案 - Total 24 questions |
| SCCM 面试题与答案 - Total 30 questions |
| Tally 面试题与答案 - Total 30 questions |
| Pega 面试题与答案 - Total 30 questions |
| Android 面试题与答案 - Total 14 questions |
| Mobile Computing 面试题与答案 - Total 20 questions |
| Xamarin 面试题与答案 - Total 31 questions |
| iOS 面试题与答案 - Total 52 questions |
| Ionic 面试题与答案 - Total 32 questions |
| Kubernetes 面试题与答案 - Total 30 questions |
| Microservices 面试题与答案 - Total 30 questions |
| Apache Kafka 面试题与答案 - Total 38 questions |
| Tableau 面试题与答案 - Total 20 questions |
| Adobe AEM 面试题与答案 - Total 50 questions |
| IAS 面试题与答案 - Total 56 questions |
| PHP OOPs 面试题与答案 - Total 30 questions |
| OOPs 面试题与答案 - Total 30 questions |
| Fashion Designer 面试题与答案 - Total 20 questions |
| Desktop Support 面试题与答案 - Total 30 questions |
| CICS 面试题与答案 - Total 30 questions |
| Yoga Teachers Training 面试题与答案 - Total 30 questions |
| Nursing 面试题与答案 - Total 40 questions |
| Linked List 面试题与答案 - Total 15 questions |
| Dynamic Programming 面试题与答案 - Total 30 questions |
| SharePoint 面试题与答案 - Total 28 questions |
| Behavioral 面试题与答案 - Total 29 questions |
| School Teachers 面试题与答案 - Total 25 questions |
| Language in C 面试题与答案 - Total 80 questions |
| Statistics 面试题与答案 - Total 30 questions |
| Digital Marketing 面试题与答案 - Total 40 questions |
| Apache Spark 面试题与答案 - Total 24 questions |
| Full-Stack Developer 面试题与答案 - Total 60 questions |
| IIS 面试题与答案 - Total 30 questions |
| System Design 面试题与答案 - Total 30 questions |
| VISA 面试题与答案 - Total 30 questions |
| Google Analytics 面试题与答案 - Total 30 questions |
| Cloud Computing 面试题与答案 - Total 42 questions |
| BPO 面试题与答案 - Total 48 questions |
| ANT 面试题与答案 - Total 10 questions |
| SEO 面试题与答案 - Total 51 questions |
| SAS 面试题与答案 - Total 24 questions |
| Control System 面试题与答案 - Total 28 questions |
| Agile Methodology 面试题与答案 - Total 30 questions |
| HR Questions 面试题与答案 - Total 49 questions |
| REST API 面试题与答案 - Total 52 questions |
| Content Writer 面试题与答案 - Total 30 questions |
| Banking 面试题与答案 - Total 20 questions |
| Checkpoint 面试题与答案 - Total 20 questions |
| Blockchain 面试题与答案 - Total 29 questions |
| Technical Support 面试题与答案 - Total 30 questions |
| Mainframe 面试题与答案 - Total 20 questions |
| Hadoop 面试题与答案 - Total 40 questions |
| Chemistry 面试题与答案 - Total 50 questions |
| Docker 面试题与答案 - Total 30 questions |
| Sales 面试题与答案 - Total 30 questions |
| Nature 面试题与答案 - Total 20 questions |
| Interview Tips 面试题与答案 - Total 30 questions |
| College Teachers 面试题与答案 - Total 30 questions |
| SDLC 面试题与答案 - Total 75 questions |
| Cryptography 面试题与答案 - Total 40 questions |
| RPA 面试题与答案 - Total 26 questions |
| Blue Prism 面试题与答案 - Total 20 questions |
| Memcached 面试题与答案 - Total 28 questions |
| GIT 面试题与答案 - Total 30 questions |
| DevOps 面试题与答案 - Total 45 questions |
| Accounting 面试题与答案 - Total 30 questions |
| SSB 面试题与答案 - Total 30 questions |
| Algorithm 面试题与答案 - Total 50 questions |
| Business Analyst 面试题与答案 - Total 40 questions |
| Splunk 面试题与答案 - Total 30 questions |
| Sqoop 面试题与答案 - Total 30 questions |
| JSON 面试题与答案 - Total 16 questions |
| OSPF 面试题与答案 - Total 30 questions |
| Insurance 面试题与答案 - Total 30 questions |
| Scrum Master 面试题与答案 - Total 30 questions |
| Accounts Payable 面试题与答案 - Total 30 questions |
| Computer Graphics 面试题与答案 - Total 25 questions |
| IoT 面试题与答案 - Total 30 questions |
| Bitcoin 面试题与答案 - Total 30 questions |
| Active Directory 面试题与答案 - Total 30 questions |
| Laravel 面试题与答案 - Total 30 questions |
| XML 面试题与答案 - Total 25 questions |
| GraphQL 面试题与答案 - Total 32 questions |
| Ansible 面试题与答案 - Total 30 questions |
| Electron.js 面试题与答案 - Total 24 questions |
| ES6 面试题与答案 - Total 30 questions |
| RxJS 面试题与答案 - Total 29 questions |
| NodeJS 面试题与答案 - Total 30 questions |
| Vue.js 面试题与答案 - Total 30 questions |
| ExtJS 面试题与答案 - Total 50 questions |
| jQuery 面试题与答案 - Total 22 questions |
| Svelte.js 面试题与答案 - Total 30 questions |
| Shell Scripting 面试题与答案 - Total 50 questions |
| Next.js 面试题与答案 - Total 30 questions |
| Knockout JS 面试题与答案 - Total 25 questions |
| TypeScript 面试题与答案 - Total 38 questions |
| PowerShell 面试题与答案 - Total 27 questions |
| Terraform 面试题与答案 - Total 30 questions |
| JCL 面试题与答案 - Total 20 questions |
| JavaScript 面试题与答案 - Total 59 questions |
| Ajax 面试题与答案 - Total 58 questions |
| Express.js 面试题与答案 - Total 30 questions |
| Ethical Hacking 面试题与答案 - Total 40 questions |
| Cyber Security 面试题与答案 - Total 50 questions |
| PII 面试题与答案 - Total 30 questions |
| Data Protection Act 面试题与答案 - Total 20 questions |
| BGP 面试题与答案 - Total 30 questions |
| Ubuntu 面试题与答案 - Total 30 questions |
| Linux 面试题与答案 - Total 43 questions |
| Unix 面试题与答案 - Total 105 questions |
| Weblogic 面试题与答案 - Total 30 questions |
| Tomcat 面试题与答案 - Total 16 questions |
| Glassfish 面试题与答案 - Total 8 questions |
| TestNG 面试题与答案 - Total 38 questions |
| Postman 面试题与答案 - Total 30 questions |
| SDET 面试题与答案 - Total 30 questions |
| UiPath 面试题与答案 - Total 38 questions |
| Quality Assurance 面试题与答案 - Total 56 questions |
| Selenium 面试题与答案 - Total 40 questions |
| Kali Linux 面试题与答案 - Total 29 questions |
| Mobile Testing 面试题与答案 - Total 30 questions |
| API Testing 面试题与答案 - Total 30 questions |
| Appium 面试题与答案 - Total 30 questions |
| ETL Testing 面试题与答案 - Total 20 questions |
| QTP 面试题与答案 - Total 44 questions |
| Cucumber 面试题与答案 - Total 30 questions |
| PHP 面试题与答案 - Total 27 questions |
| Oracle JET(OJET) 面试题与答案 - Total 54 questions |
| Frontend Developer 面试题与答案 - Total 30 questions |
| Zend Framework 面试题与答案 - Total 24 questions |
| RichFaces 面试题与答案 - Total 26 questions |
| HTML 面试题与答案 - Total 27 questions |
| Flutter 面试题与答案 - Total 25 questions |
| CakePHP 面试题与答案 - Total 30 questions |
| React 面试题与答案 - Total 40 questions |
| React Native 面试题与答案 - Total 26 questions |
| Angular JS 面试题与答案 - Total 21 questions |
| Web Developer 面试题与答案 - Total 50 questions |
| Angular 8 面试题与答案 - Total 32 questions |
| Dojo 面试题与答案 - Total 23 questions |
| GWT 面试题与答案 - Total 27 questions |
| Symfony 面试题与答案 - Total 30 questions |
| Ruby On Rails 面试题与答案 - Total 74 questions |
| CSS 面试题与答案 - Total 74 questions |
| Yii 面试题与答案 - Total 30 questions |
| Angular 面试题与答案 - Total 50 questions |