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Snowflake ARA-C01 Exam Syllabus Topics:

SectionObjectives
Data Pipelines and Data Engineering- Data ingestion and transformation
  • 1. Snowpipe and continuous data loading
    • 2. Batch and streaming ingestion
      - Data orchestration
      • 1. Pipeline design patterns
        • 2. Tasks and Streams usage
          Data Sharing and Collaboration- Secure data sharing
          • 1. Cross-account data sharing
            • 2. Data marketplace concepts
              Security, Governance, and Compliance- Data governance
              • 1. Audit and compliance features
                • 2. Data classification and masking policies
                  - Access control and security model
                  • 1. Role-based access control (RBAC)
                    • 2. Network security and authentication
                      Performance and Optimization- Query performance tuning
                      • 1. Warehouse sizing and scaling
                        • 2. Query profiling and optimization techniques
                          - Cost optimization
                          • 1. Resource monitoring and cost control
                            • 2. Storage and compute efficiency
                              Data Architecture and Design- Data modeling and schema design
                              • 1. Star and snowflake schema concepts
                                • 2. Semi-structured data modeling
                                  - Design scalable Snowflake architectures
                                  • 1. Multi-cluster virtual warehouse design
                                    • 2. Account and environment strategy

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                                      Snowflake SnowPro Advanced Architect Certification Sample Questions (Q159-Q164):

                                      NEW QUESTION # 159
                                      An Architect clones a database and all of its objects, including tasks. After the cloning, the tasks stop running.
                                      Why is this occurring?

                                      Answer: D

                                      Explanation:
                                      When a database is cloned, all of its objects, including tasks, are also cloned. However, cloned tasks are suspended by default and must be manually resumed by using the ALTER TASK command. This is to prevent the cloned tasks from running unexpectedly or interfering with the original tasks. Therefore, the reason why the tasks stop running after the cloning is because they are suspended by default (Option C).
                                      Options A, B, and D are not correct because tasks can be cloned, the objects that the tasks reference are also cloned and do not need to be fully qualified, and the Architect does not need to alter the tasks on the cloned database, only resume them. References: The answer can be verified from Snowflake's official documentation on cloning and tasks available on their website. Here are some relevant links:
                                      * Cloning Objects | Snowflake Documentation
                                      * Tasks | Snowflake Documentation
                                      * ALTER TASK | Snowflake Documentation


                                      NEW QUESTION # 160
                                      In this scenarios, files are constantly getting ingested in an external stage, the files are between 1 and 4 MB. You want to load the data immediately into a table without any human intervention.
                                      What will you use?

                                      Answer: B


                                      NEW QUESTION # 161
                                      A company has a table with that has corrupted data, named Dat
                                      a. The company wants to recover the data as it was 5 minutes ago using cloning and Time Travel.
                                      What command will accomplish this?

                                      Answer: B


                                      NEW QUESTION # 162
                                      Which steps are recommended best practices for prioritizing cluster keys in Snowflake? (Choose two.)

                                      Answer: A,D

                                      Explanation:
                                      According to the Snowflake documentation, the best practices for choosing clustering keys are:
                                      * Choose columns that are frequently used in join predicates. This can improve the join performance by reducing the number of micro-partitions that need to be scanned and joined.
                                      * Choose columns that are most actively used in selective filters. This can improve the scan efficiency by skipping micro-partitions that do not match the filter predicates.
                                      * Avoid using low cardinality columns, such as gender or country, as clustering keys. This can result in poor clustering and high maintenance costs.
                                      * Avoid using TIMESTAMP columns with nanoseconds, as they tend to have very high cardinality and low correlation with other columns. This can also result in poor clustering and high maintenance costs.
                                      * Avoid using columns with duplicate values or NULLs, as they can cause skew in the clustering and reduce the benefits of pruning.
                                      * Cluster on multiple columns if the queries use multiple filters or join predicates. This can increase the chances of pruning more micro-partitions and improve the compression ratio.
                                      * Clustering is not always useful, especially for small or medium-sized tables, or tables that are not frequently queried or updated. Clustering can incur additional costs for initially clustering the data and maintaining the clustering over time.
                                      Clustering Keys & Clustered Tables | Snowflake Documentation
                                      [Considerations for Choosing Clustering for a Table | Snowflake Documentation]


                                      NEW QUESTION # 163
                                      An Architect uses COPY INTO with the ON_ERROR=SKIP_FILE option to bulk load CSV files into a table called TABLEA, using its table stage. One file named file5.csv fails to load. The Architect fixes the file and re-loads it to the stage with the exact same file name it had previously.
                                      Which commands should the Architect use to load only file5.csv file from the stage? (Choose two.)

                                      Answer: A,E

                                      Explanation:
                                      * Option A (RETURN_FAILED_ONLY) will only load files that previously failed to load. Since file5.csv already exists in the stage with the same name, it will not be considered a new file and will not be loaded.
                                      * Option D (FORCE) will overwrite any existing data in the table. This is not desired as we only want to load the data from file5.csv.
                                      * Option E (NEW_FILES_ONLY) will only load files that have been added to the stage since the last COPY command. This will not work because file5.csv was already in the stage before it was fixed.
                                      * Option F (MERGE) is used to merge data from a stage into an existing table, creating new rows for any data not already present. This is not needed in this case as we simply want to load the data from file5.csv.
                                      Therefore, the architect can use either COPY INTO tablea FROM @%tablea or COPY INTO tablea FROM
                                      @%tablea FILES = ('file5.csv') to load only file5.csv from the stage. Both options will load the data from the specified file without overwriting any existing data or requiring additional configuration


                                      NEW QUESTION # 164
                                      ......

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