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Snowflake DEA-C01 Exam Syllabus Topics:

SectionObjectives
Security, Governance, and Data Sharing- Access control
  • 1. Role-based access control (RBAC)
    • 2. Object-level permissions
      - Data governance
      • 1. Secure data sharing concepts
        • 2. Data masking policies
          Performance Optimization- Warehouse optimization
          • 1. Concurrency management
            • 2. Scaling strategies
              - Query performance tuning
              • 1. Caching mechanisms
                • 2. Clustering and micro-partitions
                  Data Loading and Integration- Snowpipe and continuous ingestion
                  • 1. Automated ingestion workflows
                    • 2. Event-driven loading
                      - Bulk data loading
                      • 1. COPY INTO command usage
                        • 2. File format handling
                          Semi-Structured and Advanced Data Handling- Advanced transformation techniques
                          • 1. Flattening nested data
                            • 2. Complex transformations in SQL
                              - Semi-structured data processing
                              • 1. JSON, Avro, Parquet handling
                                • 2. VARIANT data type usage
                                  Data Pipelines and Transformation- Streams and Tasks
                                  • 1. Automating pipelines with Tasks
                                    • 2. Change Data Capture (CDC) with Streams
                                      - ETL/ELT design patterns in Snowflake
                                      • 1. Staging and transformation layers
                                        • 2. Data orchestration concepts
                                          Data Engineering Fundamentals on Snowflake- Snowflake architecture for data engineering
                                          • 1. Virtual warehouses and compute scaling
                                            • 2. Storage and compute separation
                                              - Data ingestion concepts
                                              • 1. Continuous ingestion concepts
                                                • 2. Batch loading strategies

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                                                  最新的 SnowPro Advanced DEA-C01 免費考試真題 (Q325-Q330):

                                                  問題 #325
                                                  A media streaming company uses AWS Glue to process and analyze viewer engagement data stored in Amazon S3. They have implemented incremental data processing in their Glue Jobs to only process new data since the last job run. However, they are encountering issues with job reliability and consistency due to inconsistencies in bookmark management.
                                                  Which of the following options describes the purpose and functionality of Glue Job bookmarks?

                                                  答案:C

                                                  解題說明:
                                                  Glue Job bookmark is a mechanism used by AWS Glue to track the state of data processing in incremental jobs. It allows Glue Jobs to remember the point at which they left off processing data during a previous run. This enables the job to resume processing from the last bookmarked state in case of job failures, interruptions, or subsequent runs, ensuring reliability and consistency in data processing.
                                                  Reference:
                                                  https://docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html


                                                  問題 #326
                                                  A company has used an Amazon Redshift table that is named Orders for 6 months. The company performs weekly updates and deletes on the table. The table has an interleaved sort key on a column that contains AWS Regions.
                                                  The company wants to reclaim disk space so that the company will not run out of storage space.
                                                  The company also wants to analyze the sort key column.
                                                  Which Amazon Redshift command will meet these requirements?

                                                  答案:D


                                                  問題 #327
                                                  A company has a data lake on AWS. The data lake ingests sources of data from business units.
                                                  The company uses Amazon Athena for queries. The storage layer is Amazon S3 with an AWS Glue Data Catalog as a metadata repository.
                                                  The company wants to make the data available to data scientists and business analysts.
                                                  However, the company first needs to manage fine-grained, column-level data access for Athena based on the user roles and responsibilities.
                                                  Which solution will meet these requirements?

                                                  答案:B

                                                  解題說明:
                                                  Lake Formation supports fine-grained access control, including column-level permissions.


                                                  問題 #328
                                                  Does sensitive data in Snowflake is modified in an existing table while applying Masking policies?

                                                  答案:B

                                                  解題說明:
                                                  Explanation
                                                  Snowflake supports masking policies as a schema-level object to protect sensitive data from unau-thorized access while allowing authorized users to access sensitive data at query runtime. This means that sensitive data in Snowflake is not modified in an existing table (i.e. no static masking). Rather, when users execute a query in which a masking policy applies, the masking policy condi-tions determine whether unauthorized users see masked, partially masked, obfuscated, or tokenized data.


                                                  問題 #329
                                                  A company needs to optimize storage for an Amazon S3 bucket. Objects older than 1 year must be accessible within 5 hours. All versions of the objects must be retained and immutable for 7 years. All versions of the objects must use the write-once-read-many (WORM) model. Which solution will meet these requirements?

                                                  答案:B

                                                  解題說明:
                                                  S3 Object Lock enforces the write-once-read-many model and ensures that all object versions remain immutable for the required 7-year retention period. Transitioning objects older than 1 year to S3 Glacier Flexible Retrieval satisfies the requirement that data be accessible within 5 hours, as this storage class supports retrieval within minutes to a few hours. The lifecycle policy can expire objects after 7 years, aligning with the retention requirement once the Object Lock retention period has ended.


                                                  問題 #330
                                                  ......

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