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Snowflake SnowPro-Core Exam Syllabus Topics:

SectionWeightObjectives
Data Sharing and Marketplace10%- Snowflake Marketplace
  • 1. Data exchange concepts
    - Secure data sharing
    • 1. Shares and consumers
      Performance and Optimization15%- Query performance
      • 1. Query profiling
        • 2. Caching mechanisms
          - Virtual warehouse optimization
          • 1. Scaling strategies
            Data Loading and Unloading20%- Data export
            • 1. UNLOAD operations
              - Data ingestion
              • 1. Stages (internal/external)
                • 2. COPY INTO command
                  Account Access and Security10%- Authentication and authorization
                  • 1. Roles and privileges
                    • 2. User management
                      - Data security features
                      • 1. Encryption
                        • 2. Network policies
                          Snowflake Architecture and Data Cloud Concepts25%- Data Cloud fundamentals
                          • 1. Separation of storage and compute
                            • 2. Shared data architecture
                              - Snowflake architecture overview
                              • 1. Cloud services layer
                                • 2. Compute layer (virtual warehouses)
                                  • 3. Storage layer
                                    Data Transformation and Processing20%- Data pipelines
                                    • 1. Streams and tasks
                                      • 2. Data transformation workflows
                                        - SQL processing
                                        • 1. Joins and subqueries
                                          • 2. SELECT queries

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                                            Snowflake SnowPro Core Certification Exam Sample Questions (Q241-Q246):

                                            NEW QUESTION # 241
                                            A company's security audit requires generating a report listing all Snowflake logins (e.g.. date and user) within the last 90 days. Which of the following statements will return the required information?
                                            A)

                                            B)

                                            C)

                                            D)

                                            Answer: B


                                            NEW QUESTION # 242
                                            Which feature is only available in the Enterprise or higher editions of Snowflake?

                                            Answer: B

                                            Explanation:
                                            Column-level security is a feature that allows fine-grained control over access to specific columns within a table. This is particularly useful for managing sensitive data and ensuring that only authorized users can view or manipulate certain pieces of information. According to my last update, this feature was available in the Enterprise Edition or higher editions of Snowflake.
                                            References: Based on my internal data as of 2021, column-level security is an advanced feature typically reserved for higher-tiered editions like the Enterprise Edition in data warehousing solutions such as Snowflake.
                                            https://docs.snowflake.com/en/user-guide/intro-editions.html


                                            NEW QUESTION # 243
                                            Which statements are correct concerning the leveraging of third-party data from the Snowflake Data Marketplace? (Choose two.)

                                            Answer: A,D


                                            NEW QUESTION # 244
                                            A column named "Data" contains VARIANT data and stores values as follows:

                                            How will Snowflake extract the employee's name from the column data?

                                            Answer: C

                                            Explanation:
                                            In Snowflake, to extract a specific value from a VARIANT column, you use the column name followed by a colon and then the key. The keys are case-sensitive. Therefore, to extract the employee's name from the
                                            "Data" column, the correct syntax is data:employee.name.


                                            NEW QUESTION # 245
                                            Which typos of charts does Snowsight support? (Select TWO).

                                            Answer: A,B

                                            Explanation:
                                            Snowsight, Snowflake's user interface for executing and analyzing queries, supports various types of visualizations to help users understand their data better. Among the supported types, area charts and bar charts are two common options. Area charts are useful for representing quantities through the use of filled areas on the graph, often useful for showing volume changes over time. Bar charts, on the other hand, are versatile for comparing different groups or categories of data. Both chart types are integral to data analysis, enabling users to visualize trends, patterns, and differences in their data effectively.References: Snowflake Documentation on Snowsight Visualizations


                                            NEW QUESTION # 246
                                            ......

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