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Solr 101 Cognitive Class Exam Quiz Answers

Solr 101 Cognitive Class Certification Answers

Question 1: Question 1: Which of the following statements is NOT correct?

  • Solr is written in C# and built around the Apache Lucene search engine.
  • When you perform a search in Solr, the index gets searched.
  • Solr is a web application running on its own server.
  • Solr uses an inverted index that maps tokens to locations.

Question 2: Queries can be analyzed before they are submitted to Solr. True or false?

  • False
  • True

Question 3: Which of the following options is NOT correct?

  • You don’t explicitly have to tell Solr how to read csv files.
  • The index in Solr is composed of many documents.
  • Each document is composed of many fields.
  • Solr handles unstructured documents automatically.

Question 1: Which file specifies how documents are organized in the index?

  • solrconfig.xml
  • schema.json
  • schema.dat
  • schema.xml

Question 2: Fields must be indexed and stored. True or false?

  • False
  • True

Question 3: Which of the following methods can be used to add a document to Solr?

  • Use a client API such as SolrJ.
  • Use a data import handler.
  • Create a Solr Cell to extract text from formats like PDFs and Word documents.
  • Directly make a request to the update URL.
  • All of the above

Question 1: Which of the following statements is NOT correct?

  • StopFilter removes generally useless words such as “the”, “at”, “and”.
  • Analyzers consist of tokenizers and filters.
  • StandardTokenizer delimits by whitespace and punctuation, except for periods not followed by whitespace.
  • Tokenizers and filters can only be chained together in a specific order.

Question 2: Lowercase filter converts all letters in each token to lowercase without touching non-letters. True or false?

  • False
  • True

Question 3: Which of the following statements is NOT true?

  • Square brackets make the range exclusive, and curly braces are inclusive.
  • You can make a query negative by adding a minus symbol prefix.
  • You can match multiple values against the same field in a single term.
  • If the search string is an asterisk, you won’t necessarily get every document.

Question 1: Which of the following statements is NOT correct?

  • SolrJ is the Java client API for Solr.
  • SolrJ is not as powerful as update processors and request handlers.
  • SolrJ does not manage the configuration of your server.
  • SolrJ eliminates the need to manually construct HTTP requests and handle responses.

Question 2: Which location does NOT contain SolrJ dependencies by default?

  • solr/example/dist
  • solr/dist/solrj-lib
  • solr/example/lib/ext
  • solr/dist

Question 3: SolrCloud is managed by Apache Zookeeper. True or false?

  • False
  • True

Question 1: The data model in Solr consists of

  • Database, Storage, Data
  • Index, Row, Column
  • Index, Document, Field
  • None of the above

Question 2: You have the following field in one of your documents:

title : “Game of Thrones”

The field is defined as follows:

< field name=”title” type=”string” indexed=”true” / >

Which of the following query strings would match the title?

  • “Game of Thrones”
  • “Thrones”
  • “game of thrones”
  • All of the above

Question 3: Where are document fields defined?

  • Solr web console
  • schema.xml
  • solrconfig.xml
  • None of the above

Question 4: The first step of many Solr projects is to make a copy of the Solr example directory. True or false?

  • True
  • False

Question 5: The embedded zookeeper server available with Solr is suitable for production. True or false?

  • True
  • False

Question 6: The best way to index a SQL database is

  • Manually
  • Apache Tika Extractor
  • SolrJ
  • Data Import Handler

Question 7: If you want the “title” field of your documents to be searchable, which attribute is necessary?

  • indexed=”false”
  • stored=”false”
  • indexed=”true”
  • stored=”true”

Question 8: Where do you specify the set of analyzers that a field will use?

  • solrconfig.xml
  • The fieldType in schema.xml
  • The field in schema.xml
  • None of the above

Question 9: Solr is a web server that communicates via HTTP. True or false?

  • True
  • False

Question 10: How would you configure Solr to automatically generate an “id” field for each document?

  • Set primaryKey=”true” in the document field
  • Add an Update Request Processor to solrconfig.xml
  • No configuration needed – Solr will fill in missing fields by default
  • This is not possible

Question 11: How can you add documents to Solr?

  • With a client API
  • With a Data Import Handler
  • Extract with Apache Tika
  • Directly via URL
  • All of the above

Question 12: Where do you put queries in a Data Import Handler?

  • Source tag
  • Query tag
  • Document tag
  • Entity tag

Question 13: You can join a nested entity with its parent entity, just like a SQL JOIN statement. True or false?

  • True
  • False

Question 14: When you extract from a PDF or Word Document, all of the text is put into a single field called “content”. True or false?

  • True
  • False

Question 15: How would you search for all documents with a quantity greater than 20 but less than 50?

  • quantity:[BETWEEN 20 AND 50]
  • quantity:{20 TO 50}
  • 20 < QUANTITY > 50
  • quantity:[20 TO 50]

Question 16: What is the meaning of the ^ query operator?

  • ^ is the “boost” part of the query, increasing its score
  • ^ is the Boolean OR operator
  • ^ is the Boolean AND operator
  • ^ is a wildcard character that matches anything

Question 17: When using a client API like SolrJ, you don’t need to configure schema.xml and solrconfig.xml. True or false?

  • True
  • False

Question 18: Using SolrJ, how would you connect to collection 1 on your Solr server?

  • solr = new HttpSolrServer();
  • solr = new HttpSolrServer(“http://localhost:8983/solr”, “collection1” );
  • HttpSolrServer.connect(“collection1”);
  • solr = new HttpSolrServer(“http://localhost:8983/solr/collection1” );

Question 19: In SolrJ, how do you finalize changes to your index?

  • solr.commit();
  • solr.end();
  • solr.finish();
  • None of the above

Question 20: What is a facet query?

  • A separate query that provides a summary of data.
  • A query run on a subset of the index
  • A secondary query that restricts the results of the original query
  • None of the above

Introduction to Solr 101

Solr is an open-source search platform built on Apache Lucene. It’s designed to provide full-text search capabilities, along with faceted search, dynamic clustering, database integration, and rich document handling. Here’s a basic introduction to some of its key features:

  1. Full-Text Search: Solr indexes documents and provides a powerful full-text search engine. It allows you to search for documents based on keywords or phrases contained within them.
  2. Scalability: Solr is highly scalable and can handle large volumes of data efficiently. It supports distributed indexing and searching, allowing you to scale horizontally by adding more servers.
  3. Faceted Search: Faceted search, also known as faceted navigation or faceted browsing, allows users to narrow down search results by applying filters based on different attributes or categories. Solr provides robust support for faceted search, making it easier for users to explore large datasets.
  4. Dynamic Clustering: Solr supports dynamic clustering, which allows you to group search results based on their similarities. This can be useful for tasks such as document categorization, recommendation systems, or result grouping.
  5. Database Integration: Solr can integrate with various databases, allowing you to index and search data from relational databases, NoSQL databases, and other data sources.
  6. Rich Document Handling: Solr supports a wide range of document formats, including XML, JSON, PDF, Microsoft Word, and more. It also provides features for extracting text and metadata from documents during indexing.
  7. RESTful API: Solr provides a RESTful API for interacting with the search engine. This makes it easy to integrate Solr into web applications and other systems.
  8. High Availability and Fault Tolerance: Solr is designed to be highly available and fault-tolerant. It supports features such as replication, failover, and distributed search to ensure that your search infrastructure remains operational even in the event of hardware failures or network issues.

Overall, Solr is a powerful and flexible search platform that can be used for a wide range of applications, from simple keyword search to complex data analysis and exploration.

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