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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Accounts and Security	25%	- Security, compliance and governance architecture - Account and database strategy design - Security principles and implementation scenarios
Snowflake Architecture	30%	- Data modeling and use cases - Development lifecycle and workload support - Data protection and recovery strategies - Object hierarchy and architectural impact - Data sharing architecture design
Performance Optimization	20%	- Query performance tuning - Clustering and partitioning strategies - Virtual warehouse configuration and sizing - Cost optimization and resource management
Data Engineering	25%	- Data pipeline and integration design - Transformation and processing frameworks - Data loading and unloading solutions

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ARA-C01 Vorbereitungsfragen - ARA-C01 Lerntipps

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Snowflake SnowPro Advanced Architect Certification ARA-C01 Prüfungsfragen mit Lösungen (Q148-Q153):

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

A. CREATE TABLE Recover_Data CLONE Data AT(OFFSET => -60*5);
B. CREATE CLONE Recover_Data FROM Data AT(OFFSET => -60*5);
C. CREATE CLONE TABLE Recover_Data FROM Data AT(OFFSET => -60*5);
D. CREATE TABLE Recover Data CLONE Data AT(TIME => -60*5);

Antwort: A

Begründung:
This is the correct command to create a clone of the table Data as it was 5 minutes ago using cloning and Time Travel. Cloning is a feature that allows creating a copy of a database, schema, table, or view without duplicating the data or metadata. Time Travel is a feature that enables accessing historical data (i.e. data that has been changed or deleted) at any point within a defined period. To create a clone of a table at a point in time in the past, the syntax is:
CREATE TABLE <clone_name> CLONE <source_table> AT (OFFSET => <offset_in_seconds>); The OFFSET parameter specifies the time difference in seconds from the present time. A negative value indicates a point in the past. For example, -60*5 means 5 minutes ago. Alternatively, the TIMESTAMP parameter can be used to specify an exact timestamp in the past. The clone will contain the data as it existed in the source table at the specified point in time12.
Snowflake Documentation: Cloning Objects
Snowflake Documentation: Cloning Objects at a Point in Time in the Past

149. Frage
In a managed access schema, what are characteristics of the roles that can manage object privileges? (Select TWO).

A. Users who are object owners can grant object privileges in a managed access schema.
B. Users with the SYSADMIN role can grant object privileges in a managed access schema.
C. Users who are schema owners can grant object privileges in a managed access schema.
D. Users with the SECURITYADMIN role or higher, can grant object privileges in a managed access schema.
E. Users who are database owners can grant object privileges in a managed access schema.

Antwort: C,D

Begründung:
In a managed access schema, the privilege management is centralized with the schema owner, who has the authority to grant object privileges within the schema. Additionally, the SECURITYADMIN role has the capability to manage object grants globally, which includes within managed access schemas. Other roles, such as SYSADMIN or database owners, do not inherently have this privilege unless explicitly granted.

150. Frage
You have create a task as below
CREATE TASK mytask1
WAREHOUSE = mywh
SCHEDULE = '5 minute'
WHEN
SYSTEM$STREAM_HAS_DATA('MYSTREAM')
AS
INSERT INTO mytable1(id,name) SELECT id, name FROM mystream WHERE METADATA$ACTION = 'INSERT';
Which statement is true below?

A. If SYSTEM$STREAM_HAS_DATA returns false, the task will go to suspended mode
B. If SYSTEM$STREAM_HAS_DATA returns false, the task will be skipped
C. If SYSTEM$STREAM_HAS_DATA returns false, the task will still run

Antwort: B

151. Frage
Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?

A. IDEF1X
B. Information schema
C. Schema-on-write
D. Schema-on-read

Antwort: D

Begründung:
Option C is the correct answer because schema-on-read is a technique that allows Snowflake to ingest and consume semi-structured data without requiring a predefined schema. Snowflake supports various semi-structured data formats such as JSON, Avro, ORC, Parquet, and XML, and provides native data types (ARRAY, OBJECT, and VARIANT) for storing them. Snowflake also provides native support for querying semi-structured data using SQL and dot notation. Schema-on-read enables Snowflake to query semi-structured data at the same speed as performing relational queries while preserving the flexibility of schema-on-read. Snowflake's near-instant elasticity rightsizes compute resources, and consumption-based pricing ensures you only pay for what you use.
Option A is incorrect because IDEF1X is a data modeling technique that defines the structure and constraints of relational data using diagrams and notations. IDEF1X is not suitable for ingesting and consuming semi-structured data, which does not have a fixed schema or structure.
Option B is incorrect because schema-on-write is a technique that requires defining a schema before loading and processing data. Schema-on-write is not efficient for ingesting and consuming semi-structured data, which may have varying or complex structures that are difficult to fit into a predefined schema. Schema-on-write also introduces additional overhead and complexity for data transformation and validation.
Option D is incorrect because information schema is a set of metadata views that provide information about the objects and privileges in a Snowflake database. Information schema is not a technique for ingesting and consuming semi-structured data, but rather a way of accessing metadata about the data.
Reference:
Semi-structured Data
Snowflake for Data Lake

152. Frage
What integration object should be used to place restrictions on where data may be exported?

A. API integration
B. Storage integration
C. Security integration
D. Stage integration

Antwort: C

Begründung:
According to the SnowPro Advanced: Architect documents and learning resources, the integration object that should be used to place restrictions on where data may be exported is the security integration. A security integration is a Snowflake object that provides an interface between Snowflake and third-party security services, such as Okta, Duo, or Google Authenticator. A security integration can be used to enforce policies on data export, such as requiring multi-factor authentication (MFA) or restricting the export destination to a specific network or domain. A security integration can also be used to enable single sign-on (SSO) or federated authentication for Snowflake users1.
The other options are incorrect because they are not integration objects that can be used to place restrictions on where data may be exported. Option A is incorrect because a stage integration is not a valid type of integration object in Snowflake. A stage is a Snowflake object that references a location where data files are stored, such as an internal stage, an external stage, or a named stage. A stage is not an integration object that provides an interface between Snowflake and third-party services2. Option C is incorrect because a storage integration is a Snowflake object that provides an interface between Snowflake and external cloud storage, such as Amazon S3, Azure Blob Storage, or Google Cloud Storage. A storage integration can be used to securely access data files from external cloud storage without exposing the credentials, but it cannot be used to place restrictions on where data may be exported3. Option D is incorrect because an API integration is a Snowflake object that provides an interface between Snowflake and third-party services that use REST APIs, such as Salesforce, Slack, or Twilio. An API integration can be used to securely call external REST APIs from Snowflake using the CALL_EXTERNAL_API function, but it cannot be used to place restrictions on where data may be exported4. Reference: CREATE SECURITY INTEGRATION | Snowflake Documentation, CREATE STAGE | Snowflake Documentation, CREATE STORAGE INTEGRATION | Snowflake Documentation, CREATE API INTEGRATION | Snowflake Documentation

153. Frage
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