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Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Security: The Security topic of the DEA-C01 test covers the principles of Snowflake security, including the management of system roles and data governance. It measures the ability to secure data and ensure compliance with policies, crucial for maintaining secure data environments for Snowflake Data Engineers and Software Engineers.
Topic 2	Performance Optimization: This topic assesses the ability to optimize and troubleshoot underperforming queries in Snowflake. Candidates must demonstrate knowledge in configuring optimal solutions, utilizing caching, and monitoring data pipelines. It focuses on ensuring engineers can enhance performance based on specific scenarios, crucial for Snowflake Data Engineers and Software Engineers.
Topic 3	Data Transformation: The SnowPro Advanced: Data Engineer exam evaluates skills in using User-Defined Functions (UDFs), external functions, and stored procedures. It assesses the ability to handle semi-structured data and utilize Snowpark for transformations. This section ensures Snowflake engineers can effectively transform data within Snowflake environments, critical for data manipulation tasks.
Topic 4	Storage and Data Protection: The topic tests the implementation of data recovery features and the understanding of Snowflake's Time Travel and micro-partitions. Engineers are evaluated on their ability to create new environments through cloning and ensure data protection, highlighting essential skills for maintaining Snowflake data integrity and accessibility.
Topic 5	Data Movement: Snowflake Data Engineers and Software Engineers are assessed on their proficiency to load, ingest, and troubleshoot data in Snowflake. It evaluates skills in building continuous data pipelines, configuring connectors, and designing data sharing solutions.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q43-Q48):

NEW QUESTION # 43
Pascal, a Data Engineer, have requirement to retrieve the 10 most recent executions of a specified task (completed, still running, or scheduled in the future) scheduled within the last hour, which of the following is the correct SQL Code ?

A. 1.select *
2.from table(information_schema.task_history(
3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),
4.result_limit => 11,
5.task_name=>'MYTASK') WHERE query_id IS NOT NULL);
B. 1.select *
2.from table(information_schema.task_history(
3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),
4.result_limit => 10,
5.task_name=>'MYTASK'));
C. 1.select *
2.from table(information_schema.task_history(
3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),
4.result_limit => 10,
5.task_name=>'MYTASK') WHERE query_id IS NOT NULL);
D. 1.select *
2.from table(information_schema.task_history(
3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),
4.result_limit => 10,query_id IS NOT NULL
5.task_name=>'MYTASK'));

Answer: B

Explanation:
Explanation
To retrieve only tasks that are completed or still running, filter the query using WHERE query_id IS NOT NULL.

NEW QUESTION # 44
A data engineering team is using an Amazon Redshift data warehouse for operational reporting.
The team wants to prevent performance issues that might result from long- running queries. A data engineer must choose a system table in Amazon Redshift to record anomalies when a query optimizer identifies conditions that might indicate performance issues.
Which table views should the data engineer use to meet this requirement?

A. STL_QUERY_METRICS
B. STL_PLAN_INFO
C. STL_USAGE_CONTROL
D. STL_ALERT_EVENT_LOG

Answer: D

Explanation:
https://docs.aws.amazon.com/redshift/latest/dg/cm_chap_system-tables.html STL_ALERT_EVENT_LOG table view to meet this requirement. This system table in Amazon Redshift is designed to record anomalies when a query optimizer identifies conditions that might indicate performance issues.

NEW QUESTION # 45
A company is developing a new application in which vast amounts of data will be ingested in near real-time from Amazon Kinesis Firehose to Amazon S3. AWS Glue will perform ETL on this data set. Files in the Amazon S3 bucket have varying sizes from 50 MB to 1 GB. AWS Glue should be able to query this data with an optimized response time and should support data growth without any performance impact.
What step can be initiated to support this requirement?

A. Use User-defined functions in the partitions.
B. Create a partitioned index.
C. Store files with size of less than 100 MBs in each partition.
D. Use a row storage format.

Answer: B

Explanation:
Querying vast amounts of data can result in slower response time. A partition index can be used to mediate this problem. While creating the partition index, a list of partition keys from the existing table is specified. Partition Index can be created with any combination of the keys in the table.
With the creation of a partition index, while querying the table, only a subset of the data about the query criteria is scanned. This improves query performance and can be useful to ensure performance for growing data sets.
Reference:
https://docs.aws.amazon.com/whitepapers/latest/aws-glue-best-practices-build-performant-data-pipeline/building-a-performance-efficient-data-pipeline.html
https://docs.aws.amazon.com/glue/latest/dg/partition-indexes.html

NEW QUESTION # 46
What is a characteristic of the use of binding variables in JavaScript stored procedures in Snowflake?

A. Users are restricted from binding JavaScript variables because they create SQL injection attack vulnerabilities
B. All Snowflake first-class objects can be bound
C. Only JavaScript variables of type number, string and sf Date can be bound
D. All types of JavaScript variables can be bound

Answer: C

Explanation:
Explanation
A characteristic of the use of binding variables in JavaScript stored procedures in Snowflake is that only JavaScript variables of type number, string and sf Date can be bound. Binding variables are a way to pass values from JavaScript variables to SQL statements within a stored procedure. Binding variables can improve the security and performance of the stored procedure by preventing SQL injection attacks and reducing the parsing overhead. However, not all types of JavaScript variables can be bound. Only the primitive types number and string, and the Snowflake-specific type sf Date, can be bound. The other options are incorrect because they do not describe a characteristic of the use of binding variables in JavaScript stored procedures in Snowflake. Option A is incorrect because authenticator is not a type of JavaScript variable, but a parameter of the snowflake.connector.connect function. Option B is incorrect because arrow_number_to_decimal is not a type of JavaScript variable, but a parameter of the snowflake.connector.connect function. Option D is incorrect because users are not restricted from binding JavaScript variables, but encouraged to do so.

NEW QUESTION # 47
Let us say you have List of 50 Source files, which needs to be loaded into Snowflake internal stage. All these Source system files are already Brotli-compressed files. Which statement is correct with respect to Compression of Staged Files?

A. Even though Source files are already compressed, Snowflake do apply default gzip2 Compression to optimize the storage cost.
B. Auto-detection is not yet supported for Brotli-compressed files; when staging or loading Brotli-compressed files, you must explicitly specify the compression method that was used.
C. Snowflake automatically detect Brotli Compression, will skip further compression of all 50 files.
D. When staging 50 compressed files in a Snowflake stage, the files are automatically com-pressed using gzip.

Answer: B

Explanation:
Explanation
Auto-detection is not yet supported for Brotli-compressed files; when staging or loading Brotli-compressed files, you must explicitly specify the compression method that was used.
To Know more about Compression of Staged Files, please refer the link:
https://docs.snowflake.com/en/user-guide/intro-summary-loading.html#compression-of-staged-files

NEW QUESTION # 48
......

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