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SnowPro Advanced Data Engineer Certification Exam Dumps

DEA-C01 Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Exam Specification:

- Exam Name: SnowPro Advanced Data Engineer Certification (DEA-C01)
- Exam Code: DEA-C01
- Exam Duration: 180 minutes
- Exam Format: Multiple-choice and multiple-select questions

Course Outline:

1. Snowflake Architecture and Core Concepts
- Understanding the Snowflake architecture and its components
- Exploring Snowflake's compute, storage, and services layers
- Understanding Snowflake's data sharing and security features

2. Data Ingestion and Transformation
- Ingesting data into Snowflake from various sources
- Implementing efficient data transformation processes
- Utilizing Snowflake's features for data loading and transformation

3. Data Integration and ETL/ELT
- Integrating data from different systems and platforms
- Designing and implementing complex ETL/ELT workflows
- Utilizing Snowflake's data integration capabilities

4. Advanced SQL and Query Optimization
- Writing advanced SQL queries for data analysis and manipulation
- Optimizing queries for performance and cost efficiency
- Understanding Snowflake's query execution and optimization features

5. Data Warehousing and Performance Tuning
- Designing and managing data warehouses in Snowflake
- Implementing performance tuning techniques for data processing
- Utilizing Snowflake's features for workload management and resource optimization

6. Data Security and Governance
- Implementing data security measures in Snowflake
- Ensuring data privacy, access control, and compliance
- Implementing data governance and data lifecycle management processes

7. Data Analytics and Visualization
- Performing advanced analytics using Snowflake's analytic functions
- Integrating Snowflake with data visualization tools
- Creating meaningful visualizations and reports from Snowflake data

Exam Objectives:

1. Demonstrate a comprehensive understanding of Snowflake architecture and core concepts.
2. Ingest and transform data from various sources into Snowflake.
3. Design and implement complex data integration and ETL/ELT workflows.
4. Write advanced SQL queries and optimize query performance in Snowflake.
5. Design and optimize data warehousing solutions in Snowflake.
6. Implement data security measures and ensure compliance in Snowflake.
7. Perform advanced data analytics and visualization using Snowflake.

Exam Syllabus:

The exam syllabus covers the following topics (but is not limited to):

- Snowflake Architecture and Core Concepts
- Data Ingestion and Transformation
- Data Integration and ETL/ELT
- Advanced SQL and Query Optimization
- Data Warehousing and Performance Tuning
- Data Security and Governance
- Data Analytics and Visualization

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DEA-C01
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Question: 62
Each micro partition contains between 50 mb and 500 MB of uncompressed data
A. TRUE
B. FALSE
Answer: A
Explanation
What are Micro-partitions?
All data in Snowflake tables is automatically divided into micro-partitions, which are contiguous units of storage. Each micro-partition contains between 50 MB
and 500 MB of uncompressed data (note that the actual size in Snowflake is smaller because data is always stored compressed). Groups of rows in tables are
mapped into individual micro-partitions, organized in a columnar fashion. This size and structure allows for extremely granular pruning of very large tables,
which can be comprised of millions, or even hundreds of millions, of micro-partitions.
Snowflake stores metadata about all rows stored in a micro-partition, including:
Question: 63
An existing clustering key is copied in which of the below scenarios
A. CREATE TABLE�CLONE
B. CREATE TABLE�LIKE
C. CREATE TABLE�AS SELECT
Answer: A
Explanation
https://docs.snowflake.com/en/sql-reference/functions/system_estimate_search_optimization_costs.html#out
put
BuildCosts
This object describes the predicted costs of building the search access path for the table. If search optimization has already been added to the table, this object
contains no cost information. StorageCosts
This object describes the predicted amount of storage space (in TB) needed for the search access path for the table. If search optimization has already been added
to the table, this object shows the current amount of space used by the search access path.
Benefit
This object does not contain any cost information at this time.
MaintenanceCosts
This object describes the predicted costs of maintaining the search access path for the table. If this table has been created recently, this object does not contain
any cost information.
Question: 64
CREATE OR REPLACE TABLE TIME_TRAVEL_SCHEMA.TIME_TRAVEL_TABLE (ID NUMBER) DATA_RETENTION_TIME_IN_DAYS =20;
Later you dropped the schema. In this scenario what data retention value will be honored for the table, if we need to retrieve the table data
A. 10
B. 20
C. 30
Answer: A
Explanation
https://docs.snowflake.com/en/user-guide/data-time-travel.html#dropped-containers-and-object-retention-inh eritance
Dropped Containers and Object Retention Inheritance
Currently, when a database is dropped, the data retention period for child schemas or tables, if explicitly set to be different from the retention of the database, is
not honored. The child schemas or tables are retained for the same period of time as the database.
Similarly, when a schema is dropped, the data retention period for child tables, if explicitly set to be different from the retention of the schema, is not honored.
The child tables are retained for the same period of time as the schema.
To honor the data retention period for these child objects (schemas or tables), drop them explicitly before you drop the database or schema.
Question: 65
Which system table will you use to get the total credit consumption over a specific time period?
A. WAREHOUSE_METERING_HISTORY
B. WAREHOUSE_CREDIT_USAGE_HISTORY
C. WAREHOUSE_USAGE_HISTORY
Answer: A
Explanation
The WAREHOUSE_METERING_HISTORY table in the ACCOUNT_USAGE Schema can be used to get the desired information. Run the below query to try
this out.
SELECT WAREHOUSE_NAME, SUM(CREDITS_USED_COMPUTE) AS CREDITS_USED_COMPUTE_SUM
FROM ACCOUNT_USAGE.WAREHOUSE_METERING_HISTORY
GROUP BY 1
ORDER BY 2 DESC;
Question: 66
Snowpipe supports loading from both internal and external stage
A. FALSE
B. TRUE
Answer: B
Explanation
Step 1: Create a Stage (If Needed)
Snowpipe supports loading from the following stage types:
Question: 67
Each micro partition contains between 50 mb and 500 MB of uncompressed data
A. TRUE
B. FALSE
Answer: A
Explanation
What are Micro-partitions?
All data in Snowflake tables is automatically divided into micro-partitions, which are contiguous units of storage. Each micro-partition contains between 50 MB
and 500 MB of uncompressed data (note that the actual size in Snowflake is smaller because data is always stored compressed). Groups of rows in tables are
mapped into individual micro-partitions, organized in a columnar fashion. This size and structure allows for extremely granular pruning of very large tables,
which can be comprised of millions, or even hundreds of millions, of micro-partitions.
Snowflake stores metadata about all rows stored in a micro-partition, including:
Question: 68
Which of the below statements are true?
A. ACCOUNT USAGE includes dropped objects but INFORMATION SCHEMA does not
B. INFORMATION SCHEMA includes dropped objects but ACCOUNT USAGE does not
C. BOTH includes dropped object
D. BOTH does not include dropped object
Answer: A
Explanation
https://docs.snowflake.com/en/sql-reference/account-usage.html#differences-between-account-usage-and-information-schema
Dropped Object Records
Account usage views include records for all objects that have been dropped. An additional DELETED column displays the timestamp when the object was
dropped.
In addition, because objects can be dropped and recreated with the same name, to differentiate between objects records that have the same name, the account
usage views include ID columns, where appropriate, that display the internal IDs generated and assigned to each record by the system.
Question: 69
Which of the below statements are true?
A. ACCOUNT USAGE includes dropped objects but INFORMATION SCHEMA does not
B. INFORMATION SCHEMA includes dropped objects but ACCOUNT USAGE does not
C. BOTH includes dropped object
D. BOTH does not include dropped object
Answer: A
Explanation
https://docs.snowflake.com/en/sql-reference/account-usage.html#differences-between-account-usage-and-information-schema
Dropped Object Records
Account usage views include records for all objects that have been dropped. An additional DELETED column displays the timestamp when the object was
dropped.
In addition, because objects can be dropped and recreated with the same name, to differentiate between objects records that have the same name, the account
usage views include ID columns, where appropriate, that display the internal IDs generated and assigned to each record by the system.
Question: 70
CREATE OR REPLACE TABLE TIME_TRAVEL_SCHEMA.TIME_TRAVEL_TABLE (ID NUMBER) DATA_RETENTION_TIME_IN_DAYS =20;
Later you dropped the schema. In this scenario what data retention value will be honored for the table, if we need to retrieve the table data
A. 10
B. 20
C. 30
Answer: A
Explanation
https://docs.snowflake.com/en/user-guide/data-time-travel.html#dropped-containers-and-object-retention-inh eritance
Dropped Containers and Object Retention Inheritance
Currently, when a database is dropped, the data retention period for child schemas or tables, if explicitly set to be different from the retention of the database, is
not honored. The child schemas or tables are retained for the same period of time as the database.
Similarly, when a schema is dropped, the data retention period for child tables, if explicitly set to be different from the retention of the schema, is not honored.
The child tables are retained for the same period of time as the schema.
To honor the data retention period for these child objects (schemas or tables), drop them explicitly before you drop the database or schema.
Question: 71
Time travel cannot be disabled for an account, but it can be disabled for individual databases, schemas and tables by specifying
DATA_RETENTION_TIME_IN_DAYS with a value of 0 for the object
A. TRUE
B. FALSE
Answer: A
Explanation
https://docs.snowflake.com/en/user-guide/data-time-travel.html#enabling-and-disabling-time-travel
Enabling and Disabling Time Travel
No tasks are required to enable Time Travel. It is automatically enabled with the standard, 1-day retention period.
However, you may wish to upgrade to Snowflake Enterprise Edition to enable configuring longer data retention periods of up to 90 days for databases, schemas,
and tables. Note that extended data retention requires additional storage which will be reflected in your monthly storage charges. For more information about
storage charges, see Storage Costs for Time Travel and Fail-safe.
Time Travel cannot be disabled for an account; however, it can be disabled for individual databases, schemas, and tables by specifying
DATA_RETENTION_TIME_IN_DAYS with a value of 0 for the object. Also, users with the ACCOUNTADMIN role can set
DATA_RETENTION_TIME_IN_DAYS to 0 at the account level, which means that all databases (and subsequently all schemas and tables) created in the
account have no retention period by default; however, this default can be overridden at any time for any database, schema, or table.
Question: 72
CREATE OR REPLACE TABLE TIME_TRAVEL_SCHEMA.TIME_TRAVEL_TABLE (ID NUMBER) DATA_RETENTION_TIME_IN_DAYS =20;
Later you dropped the schema. In this scenario what data retention value will be honored for the table, if we need to retrieve the table data
A. 10
B. 20
C. 30
Answer: A
Explanation
https://docs.snowflake.com/en/user-guide/data-time-travel.html#dropped-containers-and-object-retention-inh eritance
Dropped Containers and Object Retention Inheritance
Currently, when a database is dropped, the data retention period for child schemas or tables, if explicitly set to be different from the retention of the database, is
not honored. The child schemas or tables are retained for the same period of time as the database.
Similarly, when a schema is dropped, the data retention period for child tables, if explicitly set to be different from the retention of the schema, is not honored.
The child tables are retained for the same period of time as the schema.
To honor the data retention period for these child objects (schemas or tables), drop them explicitly before you drop the database or schema.
Question: 73
Snowpipe supports loading from both internal and external stage
A. FALSE
B. TRUE
Answer: B
Explanation
Step 1: Create a Stage (If Needed)
Snowpipe supports loading from the following stage types:
Question: 74
Snowflake charges a per-byte fee when users transfer data from your snowflake account into cloud storages in another region on the same cloud platform or into
cloud storage in another cloud platform
A. TRUE
B. FALSE
Answer: A
Explanation
https://docs.snowflake.com/en/user-guide/billing-data-transfer.html#understanding-snowflake-data-transfer-billing
Cloud providers apply data egress charges in either of the following use cases:
Data is transferred from one region to another within the same cloud platform.
Data is transferred out of the cloud platform.
To recover these expenses, Snowflake charges a per-byte fee when users transfer data from your Snowflake account (hosted on AWS, Google Cloud Platform, or
Microsoft Azure) into cloud storage in another region on the same cloud platform, or into cloud storage in another cloud platform.
The amount charged per byte depends on the region where your Snowflake account is hosted. For data transfer pricing, see the pricing guide (on the Snowflake
website):
Question: 75
;
call sp1();
SELECT * FROM EMPLOYEE ORDER BY ID;
A. 1 MOHAN
2 RON
B. 1 MOHAN
2 RON
3 RANJAN
C. 1 MOHAN
3 RANJAN
D. 1 MOHAN
Answer: A
Explanation
https://docs.snowflake.com/en/sql-reference/transactions.html#scoped-transactions
Scoped Transactions
A stored procedure that contains a transaction can be called from within another transaction. For example, a transaction inside a stored procedure can include a
call to another stored procedure that contains a transaction.
Snowflake does not treat the inner transaction as nested; instead, the inner transaction is a separate transaction. Snowflake calls these “autonomous scoped
transactions� (or simply “scoped transactions�). The starting point and ending point of each scoped transaction determine which statements are included in
the transaction. The start and end can be explicit or implicit. Each SQL statement is part of only one transaction. An enclosing ROLLBACK or COMMIT does
not undo an enclosed COMMIT or ROLLBACK.
Question: 76
Which of the below statements are true for API integration object?
A. Only Snowflake users who have the ACCOUNTADMIN role or who have a role with the global CREATE INTEGRATION privilege can execute CREATE
API INTEGRATION.
B. Only Snowflake roles with OWNERSHIP or USAGE privileges on the API integration can use the API integration directly (e.g. by creating an external
function that specifies that API integration).
C. An API integration object is tied to a specific cloud platform account and role within that account, but not to a specific HTTPS proxy URL. You can create
more than one instance of an HTTPS proxy service in a cloud provider account, and you can use the same API integration to authenticate to multiple proxy
services in that account.
D. Your Snowflake account can have multiple API integration objects, for example, for different cloud platform accounts.
E. Multiple external functions can use the same API integration object, and thus the same HTTPS proxy service.
F. ALL OF THE ABOVE
Answer: F
Explanation
API integration is an important topic to focus on for the certification. Please read this topic thoroughly. https://docs.snowflake.com/en/sql-reference/sql/create-
api-integration.html#create-api-integration Usage Notes
Only Snowflake users who have the ACCOUNTADMIN role or who have a role with the global CREATE INTEGRATION privilege can execute CREATE API
INTEGRATION.
Only Snowflake roles with OWNERSHIP or USAGE privileges on the API integration can use the API integration directly (e.g. by creating an external function
that specifies that API integration).
An API integration object is tied to a specific cloud platform account and role within that account, but not to a specific HTTPS proxy URL. You can create more
than one instance of an HTTPS proxy service in a cloud provider account, and you can use the same API integration to authenticate to multiple proxy services in
that account.
Your Snowflake account can have multiple API integration objects, for example, for different cloud platform accounts.
Multiple external functions can use the same API integration object, and thus the same HTTPS proxy service.
Question: 77
Time travel cannot be disabled for an account, but it can be disabled for individual databases, schemas and tables by specifying
DATA_RETENTION_TIME_IN_DAYS with a value of 0 for the object
A. TRUE
B. FALSE
Answer: A
Explanation
https://docs.snowflake.com/en/user-guide/data-time-travel.html#enabling-and-disabling-time-travel
Enabling and Disabling Time Travel
No tasks are required to enable Time Travel. It is automatically enabled with the standard, 1-day retention period.
However, you may wish to upgrade to Snowflake Enterprise Edition to enable configuring longer data retention periods of up to 90 days for databases, schemas,
and tables. Note that extended data retention requires additional storage which will be reflected in your monthly storage charges. For more information about
storage charges, see Storage Costs for Time Travel and Fail-safe.
Time Travel cannot be disabled for an account; however, it can be disabled for individual databases, schemas, and tables by specifying
DATA_RETENTION_TIME_IN_DAYS with a value of 0 for the object. Also, users with the ACCOUNTADMIN role can set
DATA_RETENTION_TIME_IN_DAYS to 0 at the account level, which means that all databases (and subsequently all schemas and tables) created in the
account have no retention period by default; however, this default can be overridden at any time for any database, schema, or table.
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