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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Performance Optimization	20%	- Query Performance 1. Materialized views 2. Caching strategies 3. Query profiling and tuning 4. Search optimization service - Cost and Resource Optimization 1. Resource monitors 2. Concurrency scaling 3. Warehouse cost optimization
Topic 2: Data Engineering	25%	- Data Loading and Pipelines 1. Streams and CDC 2. External stages and file formats 3. Bulk and continuous data loading 4. Snowpipe and tasks - Data Transformation 1. Semi-structured data processing 2. ETL and ELT design 3. Data modeling strategies
Topic 3: Accounts and Security	25%	- Access Control and Authentication 1. Network policies 2. Data masking and row access policies 3. SSO and MFA 4. Role-based access control - Governance and Compliance 1. Object ownership and privilege management 2. Data governance strategies 3. Encryption and security architecture
Topic 4: Snowflake Architecture	30%	- Platform Architecture Design 1. Data sharing architecture 2. Organization and account structure 3. Cross-region and cross-cloud architecture 4. Multi-account strategies - Storage and Compute Design 1. Database and schema design 2. Micro-partitions and clustering 3. Warehouse sizing and scaling

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q216-Q221):

NEW QUESTION # 216
A user named USER_01 needs access to create a materialized view on a schema EDW. STG_SCHEMA. How can this access be provided?

A. GRANT CREATE MATERIALIZED VIEW ON SCHEMA EDW.STG_SCHEMA TO USER
USER_01;
B. GRANT ROLE NEW_ROLE TO USER USER_01;
GRANT CREATE MATERIALIZED VIEW ON SCHEMA ECW.STG_SCHEKA TO NEW_ROLE;
C. GRANT ROLE NEW_ROLE TO USER_01;
GRANT CREATE MATERIALIZED VIEW ON EDW.STG_SCHEMA TO NEW_ROLE;
D. GRANT CREATE MATERIALIZED VIEW ON DATABASE EDW TO USER USERJD1;

Answer: A

Explanation:
* The correct answer is A because it grants the specific privilege to create a materialized view on the schema EDW.STG_SCHEMA to the user USER_01 directly.
* Option B is incorrect because it grants the privilege to create a materialized view on the entire database EDW, which is too broad and unnecessary. Also, there is a typo in the user name (USERJD1 instead of USER_01).
* Option C is incorrect because it grants the privilege to create a materialized view on a different schema (ECW.STG_SCHEKA instead of EDW.STG_SCHEMA). Also, there is no need to create a new role for this purpose.
* Option D is incorrect because it grants the privilege to create a materialized view on an invalid object (EDW.STG_SCHEMA is not a valid schema name, it should be EDW.STG_SCHEMA). Also, there is no need to create a new role for this purpose. References:
* Snowflake Documentation: CREATE MATERIALIZED VIEW
* Snowflake Documentation: Working with Materialized Views
* [Snowflake Documentation: GRANT Privileges on a Schema]

NEW QUESTION # 217
A company has a Snowflake environment running in AWS us-west-2 (Oregon). The company needs to share data privately with a customer who is running their Snowflake environment in Azure East US 2 (Virginia).
What is the recommended sequence of operations that must be followed to meet this requirement?

A. 1. Create a share and add the database privileges to the share2. Create a new listing on the Snowflake Marketplace3. Alter the listing and add the share4. Instruct the customer to subscribe to the listing on the Snowflake Marketplace
B. 1. Ask the customer to create a new Snowflake account in Azure EAST US 2 (Virginia)2. Create a share and add the database privileges to the share3. Alter the share and add the customer's Snowflake account to the share
C. 1. Create a new Snowflake account in Azure East US 2 (Virginia)2. Set up replication between AWS us- west-2 (Oregon) and Azure East US 2 (Virginia) for the database objects to be shared3. Create a share and add the database privileges to the share4. Alter the share and add the customer's Snowflake account to the share
D. 1. Create a reader account in Azure East US 2 (Virginia)2. Create a share and add the database privileges to the share3. Add the reader account to the share4. Share the reader account's URL and credentials with the customer

Answer: C

Explanation:
Option C is the correct answer because it allows the company to share data privately with the customer across different cloud platforms and regions. The company can create a new Snowflake account in Azure East US 2 (Virginia) and set up replication between AWS us-west-2 (Oregon) and Azure East US 2 (Virginia) for the database objects to be shared. This way, the company can ensure that the data is always up to date and consistent in both accounts. The company can then create a share and add the database privileges to the share, and alter the share and add the customer's Snowflake account to the share. The customer can then access the shared data from their own Snowflake account in Azure East US 2 (Virginia).
Option A is incorrect because the Snowflake Marketplace is not a private way of sharing data. The Snowflake Marketplace is a public data exchange platform that allows anyone to browse and subscribe to data sets from various providers. The company would not be able to control who can access their data if they use the Snowflake Marketplace.
Option B is incorrect because it requires the customer to create a new Snowflake account in Azure East US 2 (Virginia), which may not be feasible or desirable for the customer. The customer may already have an existing Snowflake account in a different cloud platform or region, and may not want to incur additional costs or complexity by creating a new account.
Option D is incorrect because it involves creating a reader account in Azure East US 2 (Virginia), which is a limited and temporary way of sharing data. A reader account is a special type of Snowflake account that can only access data from a single share, and has a fixed duration of 30 days. The company would have to manage the reader account's URL and credentials, and renew the account every 30 days. The customer would not be able to use their own Snowflake account to access the shared data, and would have to rely on the company's reader account.
References:
Snowflake Replication
Secure Data Sharing Overview
Snowflake Marketplace Overview
Reader Account Overview

NEW QUESTION # 218
You have created a table as below
CREATE TABLE SNOWFLAKE_BLOG(BLOG_ID NUMBER, BLOG_CONTENT VARCHAR,BLOG_AUTHOR VARCHAR,BLOG_CREATE_DATE TIMESTAMP );
Now you want to cluster it by BLOG_AUTHOR and BLOG_CREATE_DATE.
Which command below will you choose?

A. ALTER TABLE SNOWFLAKE_BLOG CLUSTER BY (BLOG_AUTHOR, BLOG_CREATE_DATE);
B. ALTER TABLE SNOWFLAKE_BLOG CLUSTER BY (BLOG_AUTHOR)
C. ALTER TABLE SNOWFLAKE_BLOG CLUSTER BY (BLOG_CREATE_DATE);

Answer: A

NEW QUESTION # 219
An Architect is using SnowCD to investigate a connectivity issue.
Which system function will provide a list of endpoints that the network must be able to access to use a specific Snowflake account, leveraging private connectivity?

A. SYSTEMSAUTHORIZE_PRIVATELINK
B. SYSTEMSALLOWLIST_PRIVATELINK ()
C. SYSTEMSGET_PRIVATELINK
D. SYSTEMSALLOWLIST ()

Answer: B

NEW QUESTION # 220
Which system functions does Snowflake provide to monitor clustering information within a table (Choose two.)

A. SYSTEM$CLUSTERING_INFORMATION
B. SYSTEM$CLUSTERING_KEYS
C. SYSTEM$CLUSTERING_PERCENT
D. SYSTEM$CLUSTERING_DEPTH
E. SYSTEM$CLUSTERING_USAGE

Answer: A,D

Explanation:
Explanation
According to the Snowflake documentation, these two system functions are provided by Snowflake to monitor clustering information within a table. A system function is a type of function that allows executing actions or returning information about the system. A clustering key is a feature that allows organizing data across micro-partitions based on one or more columns in the table. Clustering can improve query performance by reducing the number of files to scan.
* SYSTEM$CLUSTERING_INFORMATION is a system function that returns clustering information, including average clustering depth, for a table based on one or more columns in the table. The function takes a table name and an optional column name or expression as arguments, and returns a JSON string with the clustering information. The clustering information includes the cluster by keys, the total partition count, the total constant partition count, the average overlaps, and the average depth1.
* SYSTEM$CLUSTERING_DEPTH is a system function that returns the clustering depth for a table based on one or more columns in the table. The function takes a table name and an optional column name or expression as arguments, and returns an integer value with the clustering depth. The clustering depth is the maximum number of overlapping micro-partitions for any micro-partition in the table. A lower clustering depth indicates a better clustering2.
References:
* SYSTEM$CLUSTERING_INFORMATION | Snowflake Documentation
* SYSTEM$CLUSTERING_DEPTH | Snowflake Documentation

NEW QUESTION # 221
......

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