A company is planning on using AWS Cloudsearch.
They need to ensure that the data uploaded is searchable.
Which of the following format's are allowed for the data to be uploaded into CloudSearch.
Choose 2 answers from the options given below.
Click on the arrows to vote for the correct answer
A. B. C. D.Answer - A and B.
The AWS Documentation mentions the following.
To make your data searchable, you need to format it in JSON or XML as described in Preparing Your Data and upload it to your search domain for indexing.
In most cases, Amazon CloudSearch automatically indexes your data and the changes are visible in search results in just a few minutes.
However, certain changes to your domain configuration put the domain in the NEEDS INDEXING state.
For those changes to take effect, you must explicitly run indexing to rebuild your index.
Currently, you also need to periodically run indexing so your suggesters reflect the most recent data in your index.
The following sections describe how to upload data to your domain and run indexing when it's needed.
Since this is clearly mentioned in the documentation, all other options are invalid.
For more information on Cloudsearch, please refer to the below URL.
https://docs.aws.amazon.com/cloudsearch/latest/developerguide/uploading-and-indexing-data.htmlThe correct answers are A. XML and B. JSON.
AWS CloudSearch is a fully managed search service in the cloud that makes it easy to set up, manage, and scale a search solution for your website or application. CloudSearch can be used to search both structured and unstructured data, and supports a variety of data formats for indexing and searching.
The two most commonly used formats for uploading data to CloudSearch are XML and JSON. XML is a markup language that is commonly used to structure and exchange data over the internet. JSON is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate.
Parquet is a columnar storage format that is commonly used for storing and analyzing large amounts of data in Hadoop or other big data platforms. Parquet is not a format that is supported by CloudSearch, as it is not designed for search and retrieval of individual records.
SerDe stands for Serializer/Deserializer, and is a term used in the context of data processing frameworks like Apache Hive and Apache Spark. SerDe is used to serialize data from a structured format (like CSV or JSON) into a format that can be stored in a database or processed by a machine learning algorithm. SerDe is not a format that is directly supported by CloudSearch, although it may be used as part of a data processing pipeline to convert data into a format that can be uploaded to CloudSearch.