Answer : C
Option A is incorrect - Hive is an open-source, data warehouse, and analytic package that runs on top of a Hadoop cluster. Hive scripts use an SQL-like language called Hive QL (query language) that abstracts programming models and supports typical data warehouse interactions. Hive enables you to avoid the complexities of writing Tez jobs based on directed acyclic graphs (DAGs) or MapReduce programs in a lower level computer language, such as Java. Hive extends the SQL paradigm by including serialization formats. You can also customize query processing by creating table schema that matches your data, without touching the data itself. In contrast to SQL (which only supports primitive value types such as dates, numbers, and strings), values in Hive tables are structured elements, such as JSON objects, any user-defined data type, or any function written in Java.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hive.html
Option B is incorrect -Use Apache Zeppelin as a notebook for interactive data exploration. Zepplin can be accessed through web interface using a SSH tunnel to the EMR master node and a proxy connection
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-zeppelin.html
Option C is correct -Jupyter Notebook is an open-source web application that you can use to create and share documents that contain live code, equations, visualizations, and narrative text. Amazon EMR offers you two options to work with Jupyter notebooks:
EMR Notebook
JupyterHub
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-jupyter.html
Option D is incorrect -Presto is a fast SQL query engine designed for interactive analytic queries over large datasets from multiple sources
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-presto.html