Snowflake ARA-C01 Exam With Confidence Using Practice Dumps

To ensure that ananalyst_usercan only access Snowflake from specific IP addresses, the following steps are required:

Option B: This alters the network policy directly linked toanalyst_user. Setting a network policy on the user level is effective and ensures that the specified network restrictions apply directly and exclusively to this user.

Option D: Before a network policy can be set or altered, the appropriate role with permission to manage network policies must be used.SECURITYADMINis typically the role that has privileges to create and manage network policies in Snowflake. Creating a network policy that specifies allowed IP addresses ensures that only requests coming from those IPs can access Snowflake under this policy. After creation, this policy can be linked to specific users or roles as needed.

Options A and E mention altering roles or using the wrong role (USERADMINtypically does not manage network security settings), and option C incorrectly attempts to set a network policy directly as an IP address, which is not syntactically or functionally valid.

 According to the SnowPro Advanced: Architect documents and learning resources, the security, governance, and data protection features that require, at a minimum, the Business Critical edition of Snowflake are:

Customer-managed encryption keys through Tri-Secret Secure. This feature allows customers to manage their own encryption keys for data at rest in Snowflake, using a combination of three secrets: a master key, a service key, and a security password. This provides an additional layer of security and control over the data encryption and decryption process1.

Periodic rekeying of encrypted data. This feature allows customers to periodically rotate the encryption keys for data at rest in Snowflake, using either Snowflake-managed keys or customer-managed keys. This enhances the security and protection of the data by reducing the risk of key compromise or exposure2.

The other options are incorrect because they do not require the Business Critical edition of Snowflake. Option A is incorrect because extended Time Travel (up to 90 days) is available with the Enterprise edition of Snowflake3. Option D is incorrect because AWS, Azure, or Google Cloud private connectivity to Snowflake is available with the Standard edition of Snowflake4. Option E is incorrect because federated authentication and SSO are available with the Standard edition of Snowflake5. References: Tri-Secret Secure | Snowflake Documentation, Periodic Rekeying of Encrypted Data | Snowflake Documentation, Snowflake Editions | Snowflake Documentation, Snowflake Network Policies | Snowflake Documentation, Configuring Federated Authentication and SSO | Snowflake Documentation

The SQL statement is a command for creating a pipe in Snowflake, which is an object that defines the COPY INTO

statement used by Snowpipe to load data from an ingestion queue into tables1. The statement uses a subquery in the FROM clause to transform the data from the staged files before loading it into the table2.

The transformations supported in the subquery are as follows2:

Data can be filtered by an optional WHERE clause, which specifies a condition that must be satisfied by the rows returned by the subquery. For example:

SQLAI-generated code. Review and use carefully. More info on FAQ.

createpipe mypipeas

copyintomytable

from(

select*from@mystage

wherecol1='A'andcol2>10

);

Columns can be reordered, which means changing the order of the columns in the subquery to match the order of the columns in the target table. For example:

SQLAI-generated code. Review and use carefully. More info on FAQ.

createpipe mypipeas

copyintomytable (col1, col2, col3)

from(

selectcol3, col1, col2from@mystage

);

Columns can be omitted, which means excluding some columns from the subquery that are not needed in the target table. For example:

SQLAI-generated code. Review and use carefully. More info on FAQ.

createpipe mypipeas

copyintomytable (col1, col2)

from(

selectcol1, col2from@mystage

);

The other options are not supported in the subquery because2:

Type casts are not supported, which means changing the data type of a column in the subquery. For example, the following statement will cause an error:

SQLAI-generated code. Review and use carefully. More info on FAQ.

createpipe mypipeas

copyintomytable (col1, col2)

from(

selectcol1::date, col2from@mystage

);

Incoming data can not be joined with other tables, which means combining the data from the staged files with the data from another table in the subquery. For example, the following statement will cause an error:

SQLAI-generated code. Review and use carefully. More info on FAQ.

createpipe mypipeas

copyintomytable (col1, col2, col3)

from(

selects.col1, s.col2, t.col3from@mystages

joinothertable tons.col1=t.col1

);

The ON ERROR - ABORT statement command can not be used, which means aborting the entire load operation if any error occurs. This command can only be used in the COPY INTO

statement, not in the subquery. For example, the following statement will cause an error:

SQLAI-generated code. Review and use carefully. More info on FAQ.

createpipe mypipeas

copyintomytable

from(

select*from@mystage

onerror abort

);

1: CREATE PIPE | Snowflake Documentation

2: Transforming Data During a Load | Snowflake Documentation

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