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| Section | Objectives |
|---|---|
| Topic 1: Data Loading and Integration | - Bulk data loading
|
| Topic 2: Security, Governance, and Data Sharing | - Access control
|
| Topic 3: Data Engineering Fundamentals on Snowflake | - Data ingestion concepts
|
| Topic 4: Data Pipelines and Transformation | - Streams and Tasks
|
| Topic 5: Performance Optimization | - Warehouse optimization
|
| Topic 6: Semi-Structured and Advanced Data Handling | - Semi-structured data processing
|
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NEW QUESTION # 26
A retail company stores transactions, store locations, and customer information tables in four reserved ra3.4xlarge Amazon Redshift cluster nodes. All three tables use even table distribution.
The company updates the store location table only once or twice every few years.
A data engineer notices that Redshift queues are slowing down because the whole store location table is constantly being broadcast to all four compute nodes for most queries. The data engineer wants to speed up the query performance by minimizing the broadcasting of the store location table.
Which solution will meet these requirements in the MOST cost-effective way?
Answer: A
Explanation:
Changing the distribution style of the store location table to ALL distribution (A) is the most cost- effective solution. It directly addresses the issue of broadcasting by ensuring the entire table is available on each node, significantly improving join performance without incurring substantial additional costs.
NEW QUESTION # 27
A company uses AWS Glue ETL pipelines to process data. The company uses Amazon Athena to analyze data in an Amazon S3 bucket.
To better understand shipping timelines, the company decides to collect and store shipping and delivery dates in addition to order data. The company adds a data quality check to ensure that shipping date is greater than order date and that delivery date is greater than shipping date.
Orders that fail the quality check must be stored in a second S3 bucket.
Which solution will meet these requirements MOST cost-effectively?
Answer: A
Explanation:
AWS Glue Data Quality is the most cost-effective choice because it is built for ETL data validation and supports custom rules that compare multiple columns, such as ensuring shipping date is after order date and delivery date is after shipping date. It can also identify the specific records that fail validation so those failed orders can be written to a separate Amazon S3 bucket as part of the ETL flow.
Reference:
https://docs.aws.amazon.com/glue/latest/dg/glue-data-quality.html
https://docs.aws.amazon.com/glue/latest/dg/tutorial-data-quality.html
https://docs.aws.amazon.com/glue/latest/dg/dqdl-rule-types-CustomSql.html
NEW QUESTION # 28
A Data Engineer has written a stored procedure that will run with caller's rights. The Engineer has granted ROLEA right to use this stored procedure.
What is a characteristic of the stored procedure being called using ROLEA?
Answer: D
Explanation:
Explanation
A stored procedure that runs with caller's rights executes with the privileges of the role that calls it. Therefore, if the stored procedure accesses an object that ROLEA does not have access to, such as a table or a view, the stored procedure will fail with an insufficient privileges error. The other options are not correct because:
A stored procedure can be converted from caller's rights to owner's rights by using the ALTER PROCEDURE command with the EXECUTE AS OWNER option.
A stored procedure that runs with caller's rights executes in the context (database and schema) of the caller, not the owner.
ROLEA will be able to see the source code for the stored procedure by using the GET_DDL function or the DESCRIBE command, as long as it has usage privileges on the stored procedure.
NEW QUESTION # 29
A company has a data pipeline that uses an Amazon RDS instance, AWS Glue jobs, and an Amazon S3 bucket. The RDS instance and AWS Glue jobs run in a private subnet of a VPC and in the same security group.
A user made a change to the security group that prevents the AWS Glue jobs from connecting to the RDS instance. After the change, the security group contains a single rule that allows inbound SSH traffic from a specific IP address.
The company must resolve the connectivity issue.
Which solution will meet this requirement?
Answer: A
Explanation:
Since both the RDS instance and the Glue jobs share the same security group, allowing that security group as the source for inbound TCP traffic (on all ports) immediately restores connectivity from the Glue-attached ENIs to the database. This single rule change requires no additional infrastructure and incurs no extra maintenance.
NEW QUESTION # 30
As Data Engineer, you have requirement to Load set of New Product Files containing Product rele-vant information into the Snowflake internal tables, Later you analyzed that some of the Source files are already loaded in one of the historical batch & for that you have prechecked Metadata col-umn LAST_MODIFIED date for a staged data file & found out that LAST_MODIFIED date is older than 64 days for few files and the initial set of data was loaded into the table more than 64 days earlier, Which one is the best approach to Load Source data files with expired load metadata along with set of files whose metadata might be available to avoid data duplication?
Answer: A
Explanation:
Explanation
To load files whose metadata has expired, set the LOAD_UNCERTAIN_FILES copy option to true. The copy option references load metadata, if available, to avoid data duplication, but also at-tempts to load files with expired load metadata.
Alternatively, set the FORCE option to load all files, ignoring load metadata if it exists. Note that this option reloads files, potentially duplicating data in a table.
Please refer the Example as mentioned in the link below:
https://docs.snowflake.com/en/user-guide/data-load-considerations-load.html#loading-older-files
NEW QUESTION # 31
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