Introduction:
In Computer Science Engineering (CSE), there are several subjects that can be considered relatively easier to score compared to others. These subjects usually have a logical and practical approach, making them more intuitive for students. Here are two subjects and their corresponding topics that are generally considered easier in CSE:

1. Database Management Systems (DBMS):
DBMS is a subject that deals with the organization and management of data. It involves concepts like data modeling, data storage, data retrieval, and database design. Here are a few topics within DBMS that are relatively easier to understand and score well in:

- Entity-Relationship (ER) Model: This topic focuses on representing entities, relationships, and attributes in a database system using ER diagrams. It involves understanding the cardinality, participation constraints, and key constraints between entities. Practice drawing ER diagrams and solving related problems to excel in this topic.

- SQL (Structured Query Language): SQL is a language used to communicate with and manipulate databases. This topic involves understanding basic SQL queries like SELECT, INSERT, UPDATE, and DELETE, along with concepts like joins, constraints, and views. Practice writing SQL queries and solving problems related to database operations.

- Normalization: Normalization is the process of organizing data to minimize redundancy and dependency in a database. This topic involves understanding various normal forms (1NF, 2NF, 3NF, etc.) and their application in eliminating data anomalies. Practice solving normalization problems to gain a strong grasp of this topic.

2. Data Structures and Algorithms (DSA):
DSA is a fundamental subject in CSE that deals with the organization and manipulation of data efficiently. It involves understanding different data structures and algorithms for performing operations on them. Here are a few topics within DSA that are relatively easier to understand and score well in:

- Arrays and Strings: This topic focuses on understanding arrays, strings, and their manipulation. It involves topics like searching, sorting, and various string operations. Practice solving problems related to array manipulation and string algorithms to strengthen your understanding.

- Linked Lists: Linked lists are linear data structures that consist of nodes connected together. This topic involves understanding different types of linked lists (singly linked list, doubly linked list, etc.) and performing operations like insertion, deletion, and traversal on them. Practice implementing linked list operations to improve your proficiency.

- Recursion and Backtracking: Recursion is a technique of solving a problem by breaking it down into smaller subproblems. Backtracking is a method of solving problems by trying out different possibilities and undoing them if they fail. Practice solving recursive and backtracking problems to enhance your problem-solving skills.

Conclusion:
While there is no definitive answer to which subject is the easiest scoring, subjects like DBMS and DSA can be considered relatively easier in Computer Science Engineering. By focusing on topics like ER modeling, SQL, normalization in DBMS, and arrays, linked lists, recursion, and backtracking in DSA, you can improve your understanding and score well in these subjects. Remember to practice regularly, solve problems, and seek clarification whenever needed to excel in your studies.