2 x 40 Similar Exam Questions with Explained Answers, to Help You Get a FREE Neo4j Graph Data Science Certification
β 4.71/5 rating
π₯ 114 students
π March 2023 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Course Overview
- This course offers comprehensive, targeted preparation for the official Neo4j Graph Data Science Certification. Features two full-length practice exams to solidify understanding and ensure readiness.
- Each of the two practice exams contains 40 expertly crafted questions, rigorously simulating the format, difficulty, and content of the actual certification test, for a realistic experience.
- Crucially, every question comes with detailed, step-by-step explained answers. This empowers learners to deeply understand underlying concepts, turning learning moments into mastery.
- Updated March 2023, guarantees alignment with latest Neo4j Graph Data Science curriculum and best practices, ensuring your preparation is current and relevant.
- Requirements / Prerequisites
- Foundational Neo4j Knowledge: Familiarity with Neo4j basics, including graph structures (nodes, relationships, properties) and navigating Neo4j Browser/Desktop, essential. Builds on existing knowledge.
- Proficiency in Cypher: Solid grasp of Cypher query language, including advanced pattern matching, data manipulation, aggregation, and basic pathfinding, is crucial. Questions heavily rely on interpreting Cypher.
- Basic Graph Data Science Concepts: Understanding fundamental graph algorithms (e.g., centrality, community detection) and their application in data science contexts enhances learning and exam readiness.
- Skills Covered / Tools Used
- Graph Modeling and Schema Design: Reinforces best practices for designing efficient graph schemas to support advanced analytical queries, ensuring data is optimally structured for graph data science.
- Advanced Cypher for Data Science: Strengthens writing sophisticated Cypher queries for extracting insights, preparing data for graph algorithms, and interpreting complex graph patterns for data science.
- Neo4j Graph Data Science (GDS) Library Application: Deepens understanding of effectively applying various algorithms from the Neo4j GDS library, including pathfinding, centrality, community detection, and similarity.
- Machine Learning Integration with Graphs: Explores utilizing graph features in ML pipelines, including node embeddings and feature engineering from graph structures, crucial for leveraging graph data.
- Performance Optimization: Refines understanding of optimizing queries and algorithm executions within Neo4j, identifying bottlenecks and applying efficient solutions for large datasets.
- Tool Proficiency: Primarily leverages theoretical understanding of the Neo4j Database, Cypher Query Language, and the Graph Data Science Library, essential for practical application.
- Benefits / Outcomes
- Achieve Official Certification: Successfully pass official Neo4j Graph Data Science Certification exam, earning a valuable, industry-recognized credential validating your expertise.
- Comprehensive Skill Validation: Gain robust validation of practical and theoretical understanding of Neo4j’s graph data science capabilities, demonstrating proficiency in advanced graph algorithms and analytical techniques.
- Boost Career Prospects: Enhance your professional profile and marketability in data science, analytics, and development roles where graph data science expertise is increasingly sought.
- Deepened Practical Understanding: Develop a nuanced, intuitive understanding of correct graph data science approaches, troubleshooting issues, and underlying principles.
- PROS
- Highly Targeted Exam Preparation: Exclusively focused on certification success, ensuring every question and explanation directly contributes to passing the exam efficiently.
- Detailed Explanations: Comprehensive, step-by-step explanations for all 80 questions clarify complex concepts and solidify understanding, transforming incorrect answers into potent learning experiences.
- Current and Relevant Content: Updated March 2023, guaranteeing questions and explanations align with latest Neo4j GDS library features, certification objectives, and industry best practices.
- Practical, Application-Oriented Questions: Tests practical application of graph data science concepts within Neo4j, mirroring real-world problem-solving scenarios, not just theoretical recall.
- Cost-Effective Certification Path: Effectively prepares you to pass the exam on your first attempt, potentially saving the cost and time associated with retaking the official certification exam.
- CONS
- Assumes Prior Foundational Knowledge: This course is exclusively for exam preparation, not an introductory resource. It assumes learners possess foundational understanding of Neo4j, Cypher, and basic graph data science principles.
Learning Tracks: English,IT & Software,IT Certifications
Found It Free? Share It Fast!