Question # 1
| An Architect is designing a data lake with Snowflake. The company has structured, semi-structured, and unstructured data. The company wants to save the data inside the data lake within the Snowflake
system. The company is planning on sharing data among its corporate branches using Snowflake data sharing.
What should be considered when sharing the unstructured data within Snowflake? | | A. A pre-signed URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with no time limit for the URL. | | B. A scoped URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 24-hour time limit for the URL. | | C. A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 7-day time limit for the URL. | | D. A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with the "expiration_time" argument defined for the URL time limit. |
B. A scoped URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 24-hour time limit for the URL.
Explanation:
When sharing unstructured data within Snowflake, using a scoped URL is recommended. Scoped URLs provide temporary access to staged files without granting privileges to the stage itself, enhancing security. The URL expires when the persisted query result period ends, which is currently set to 24 hours. This approach is suitable for sharing unstructured data over secure views within Snowflake’s data sharing framework.
Question # 2
| Assuming all Snowflake accounts are using an Enterprise edition or higher, in which development and testing scenarios would be copying of data be required, and zero-copy cloning not be suitable? (Select TWO). | | A. Developers create their own datasets to work against transformed versions of the live data. | | B. Production and development run in different databases in the same account, and Developers need to see production-like data but with specific columns masked | | C. Data is in a production Snowflake account that needs to be provided to Developers in a separate development/testing Snowflake account in the same cloud region. | | D. Developers create their own copies of a standard test database previously created for them in the development account, for their initial development and unit testing. | | E. The release process requires pre-production testing of changes with data of production scale and complexity. For security reasons, pre-production also runs in the production account. |
A. Developers create their own datasets to work against transformed versions of the live data.
C. Data is in a production Snowflake account that needs to be provided to Developers in a separate development/testing Snowflake account in the same cloud region.
Explanation:
Zero-copy cloning is a feature that allows creating a clone of a table, schema, or database without physically copying the data. Zero-copy cloning is suitable for scenarios where the cloned object needs to have the same data and metadata as the original object, and where the cloned object does not need to be modified or updated frequently. Zero-copy cloning is also suitable for scenarios where the cloned object needs to be shared within the same Snowflake account or across different accounts in the same cloud region.
However, zero-copy cloning is not suitable for scenarios where the cloned object needs to have different data or metadata than the original object, or where the cloned object needs to be modified or updated frequently. Zero-copy cloning is also not suitable for scenarios where the cloned object needs to be shared across different accounts in different cloud regions. In these scenarios, copying of data would be required, either by using the COPY INTO command or by using data sharing with secure views.
The following are examples of development and testing scenarios where copying of data would be required, and zero-copy cloning would not be suitable:
Developers create their own datasets to work against transformed versions of the live data. This scenario requires copying of data because the developers need to modify the data or metadata of the cloned object to perform transformations, such as adding, deleting, or updating columns, rows, or values. Zero-copy cloning would not be suitable because it would create a read-only clone that shares the same data and metadata as the original object, and any changes made to the clone would affect the original object as well.
Data is in a production Snowflake account that needs to be provided to Developers in a separate development/testing Snowflake account in the same cloud region. This scenario requires copying of data because the data needs to be shared across different accounts in the same cloud region. Zero-copy cloning would not be suitable because it would create a clone within the same account as the original object, and it would not allow sharing the clone with another account. To share data across different accounts in the same cloud region, data sharing with secure views or COPY INTO command can be used.
The following are examples of development and testing scenarios where zero-copy cloning would be suitable, and copying of data would not be required:
Production and development run in different databases in the same account, and Developers need to see production-like data but with specific columns masked. This scenario can use zero-copy cloning because the data needs to be shared within the same account, and the cloned object does not need to have different data or metadata than the original object. Zero-copy cloning can create a clone of the production database in the development database, and the clone can have the same data and metadata as the original database. To mask specific columns, secure views can be created on top of the clone, and the developers can access the secure views instead of the clone directly.
Developers create their own copies of a standard test database previously created for them in the development account, for their initial development and unit testing. This scenario can use zero-copy cloning because the data needs to be shared within the same account, and the cloned object does not need to have different data or metadata than the original object. Zero-copy cloning can create a clone of the standard test database for each developer, and the clone can have the same data and metadata as the original database. The developers can use the clone for their initial development and unit testing, and any changes made to the clone would not affect the original database or other clones.
The release process requires pre-production testing of changes with data of production scale and complexity. For security reasons, pre-production also runs in the production account. This scenario can use zero-copy cloning because the data needs to be shared within the same account, and the cloned object does not need to have different data or metadata than the original object. Zero-copy cloning can create a clone of the production database in the pre-production database, and the clone can have the same data and metadata as the original database. The pre-production testing can use the clone to test the changes with data of production scale and complexity, and any changes made to the clone would not affect the original database or the production environment.
Question # 3
| A retail company has 2000+ stores spread across the country. Store Managers report that they are having trouble running key reports related to inventory management, sales targets, payroll, and staffing during business hours. The Managers report that performance is poor and time-outs occur frequently.
Currently all reports share the same Snowflake virtual warehouse.
How should this situation be addressed? (Select TWO). | | A. Use a Business Intelligence tool for in-memory computation to improve performance.
| | B. Configure a dedicated virtual warehouse for the Store Manager team.
| | C. Configure the virtual warehouse to be multi-clustered.
| | D. Configure the virtual warehouse to size 4-XL
| | E. Advise the Store Manager team to defer report execution to off-business hours.
|
B. Configure a dedicated virtual warehouse for the Store Manager team.
C. Configure the virtual warehouse to be multi-clustered.
Explanation:
The best way to address the performance issues and time-outs faced by the Store Manager team is to configure a dedicated virtual warehouse for them and make it multi-clustered. This will allow them to run their reports independently from other workloads and scale up or down the compute resources as needed. A dedicated virtual warehouse will also enable them to apply specific security and access policies for their data. A multi-clustered virtual warehouse will provide high availability and concurrency for their queries and avoid queuing or throttling.
Using a Business Intelligence tool for in-memory computation may improve performance, but it will not solve the underlying issue of insufficient compute resources in the shared virtual warehouse. It will also introduce additional costs and complexity for the data architecture.
Configuring the virtual warehouse to size 4-XL may increase the performance, but it will also increase the cost and may not be optimal for the workload. It will also not address the concurrency and availability issues that may arise from sharing the virtual warehouse with other workloads.
Advising the Store Manager team to defer report execution to off-business hours may reduce the load on the shared virtual warehouse, but it will also reduce the timeliness and usefulness of the reports for the business. It will also not guarantee that the performance issues and time-outs will not occur at other times.
Question # 4
| In a managed access schema, what are characteristics of the roles that can manage object privileges? (Select TWO). | | A. Users with the SYSADMIN role can grant object privileges in a managed access schema. | | B. Users with the SECURITYADMIN role or higher, can grant object privileges in a managed access schema. | | C. Users who are database owners can grant object privileges in a managed access schema. | | D. Users who are schema owners can grant object privileges in a managed access schema. | | E. Users who are object owners can grant object privileges in a managed access schema. |
B. Users with the SECURITYADMIN role or higher, can grant object privileges in a managed access schema.
D. Users who are schema owners can grant object privileges in a managed access schema.
Explanation:
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.
Question # 5
A Snowflake Architect created a new data share and would like to verify that only specific records in secure views are visible within the data share by the consumers.
What is the recommended way to validate data accessibility by the consumers? | A. Create reader accounts as shown below and impersonate the consumers by logging in with their credentials.
Create managed account reader_acctl admin_name = userl , adroin_password ■ 'Sdfed43da!44T , type = reader; | B. Create a row access policy as shown below and assign it to the data share.
Create or replace row access policy rap_acct as (acct_id varchar) returns boolean -> case when 'acctl_role' = current_role() then true else false end; | C. Set the session parameter called SIMULATED_DATA_SHARING_C0NSUMER as shown below in order to impersonate the consumer accounts.
Alter session set simulated_data_sharing_consumer - 'Consumer Acctl* | D. Alter the share settings as shown below, in order to impersonate a specific consumer account.
Alter share sales share set accounts = 'Consumerl’ share restrictions = true |
C. Set the session parameter called SIMULATED_DATA_SHARING_C0NSUMER as shown below in order to impersonate the consumer accounts.
Alter session set simulated_data_sharing_consumer - 'Consumer Acctl*
Explanation:
The SIMULATED_DATA_SHARING_CONSUMER session parameter allows a data provider to simulate the data access of a consumer account without creating a reader account or logging in with the consumer credentials. This parameter can be used to validate the data accessibility by the consumers in a data share, especially when using secure views or secure UDFs that filter data based on the current account or role. By setting this parameter to the name of a consumer account, the data provider can see the same data as the consumer would see when querying the shared database. This is a convenient and efficient way to test the data sharing functionality and ensure that only the intended data is visible to the consumers.
Question # 6
| A company's Architect needs to find an efficient way to get data from an external partner, who is also a Snowflake user. The current solution is based on daily JSON extracts that are placed on an FTP server and uploaded to Snowflake manually. The files are changed several times each month, and the ingestion process needs to be adapted to accommodate these changes.
What would be the MOST efficient solution? | | A. Ask the partner to create a share and add the company's account.
| | B. Ask the partner to use the data lake export feature and place the data into cloud storage where Snowflake can natively ingest it (schema-on-read). | | C. Keep the current structure but request that the partner stop changing files, instead only appending new files.
| | D. Ask the partner to set up a Snowflake reader account and use that account to get the data for ingestion.
|
A. Ask the partner to create a share and add the company's account.
Explanation:
The most efficient solution is to ask the partner to create a share and add the company’s account (Option A). This way, the company can access the live data from the partner without any data movement or manual intervention. Snowflake’s secure data sharing feature allows data providers to share selected objects in a database with other Snowflake accounts. The shared data is read-only and does not incur any storage or compute costs for the data consumers. The data consumers can query the shared data directly or create local copies of the shared objects in their own databases.
Option B is not efficient because it involves using the data lake export feature, which is intended for exporting data from Snowflake to an external data lake, not for importing data from another Snowflake account. The data lake export feature also requires the data provider to create an external stage on cloud storage and use the COPY INTO command to export the data into parquet files. The data consumer then needs to create an external table or a file format to load the data from the cloud storage into Snowflake. This process can be complex and costly, especially if the data changes frequently.
Option C is not efficient because it does not solve the problem of manual data ingestion and adaptation. Keeping the current structure of daily JSON extracts on an FTP server and requesting the partner to stop changing files, instead only appending new files, does not improve the efficiency or reliability of the data ingestion process. The company still needs to upload the data to Snowflake manually and deal with any schema changes or data quality issues.
Option D is not efficient because it requires the partner to set up a Snowflake reader account and use that account to get the data for ingestion. A reader account is a special type of account that can only consume data from the provider account that created it. It is intended for data consumers who are not Snowflake customers and do not have a licensing agreement with Snowflake. A reader account is not suitable for data ingestion from another Snowflake account, as it does not allow uploading, modifying, or unloading data. The company would need to use external tools or interfaces to access the data from the reader account and load it into their own account, which can be slow and expensive.
Question # 7
Two queries are run on the customer_address table:
create or replace TABLE CUSTOMER_ADDRESS ( CA_ADDRESS_SK NUMBER(38,0), CA_ADDRESS_ID VARCHAR(16), CA_STREET_NUMBER VARCHAR(IO) CA_STREET_NAME VARCHAR(60), CA_STREET_TYPE VARCHAR(15), CA_SUITE_NUMBER VARCHAR(10), CA_CITY VARCHAR(60), CA_COUNTY
VARCHAR(30), CA_STATE VARCHAR(2), CA_ZIP VARCHAR(10), CA_COUNTRY VARCHAR(20), CA_GMT_OFFSET NUMBER(5,2), CA_LOCATION_TYPE
VARCHAR(20) );
ALTER TABLE DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS ADD SEARCH OPTIMIZATION ON SUBSTRING(CA_ADDRESS_ID);
Which queries will benefit from the use of the search optimization service? (Select TWO). | | A. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where substring(CA_ADDRESS_ID,1,8)= substring('AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD',1,8); | | B. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID= substring('AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD',1,16); | | C. select*fromDEMO_DB.DEMO_SCH.CUSTOMER_ADDRESSWhereCA_ADDRESS_IDLIKE ’%BAAASKD%';
| | D. select*fromDEMO_DB.DEMO_SCH.CUSTOMER_ADDRESSWhereCA_ADDRESS_IDLIKE '%PHPP%';
| | E. select*fromDEMO_DB.DEMO_SCH.CUSTOMER_ADDRESSWhereCA_ADDRESS_IDNOT LIKE '%AAAAAAAAPHPPL%';
|
A. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where substring(CA_ADDRESS_ID,1,8)= substring('AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD',1,8);
B. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID= substring('AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD',1,16);
Explanation:
The use of the search optimization service in Snowflake is particularly effective when queries involve operations that match exact substrings or start from the beginning of a string. The ALTER TABLE command adding search optimization specifically for substrings on the CA_ADDRESS_ID field allows the service to create an optimized search path for queries using substring matches.
Option A benefits because it directly matches a substring from the start of the CA_ADDRESS_ID, aligning with the optimization's capability to quickly locate records based on the beginning segments of strings.
Option B also benefits, despite performing a full equality check, because it essentially compares the full length of CA_ADDRESS_ID to a substring, which can leverage the substring index for efficient retrieval.
Options C, D, and E involve patterns that do not start from the beginning of the string or use negations, which are not optimized by the search optimization service configured for starting substring matches.
Snowflake ARA-C01 Exam Dumps
5 out of 5
Pass Your SnowPro Advanced: Architect Certification Exam in First Attempt With ARA-C01 Exam Dumps. Real SnowPro Advanced Certification Exam Questions As in Actual Exam!
— 65 Questions With Valid Answers
— Updation Date : 15-Apr-2025
— Free ARA-C01 Updates for 90 Days
— 98% SnowPro Advanced: Architect Certification Exam Passing Rate
PDF Only Price 49.99$
19.99$
Buy PDF
Speciality
Additional Information
Testimonials
Related Exams
- Number 1 Snowflake SnowPro Advanced Certification study material online
- Regular ARA-C01 dumps updates for free.
- SnowPro Advanced: Architect Certification Practice exam questions with their answers and explaination.
- Our commitment to your success continues through your exam with 24/7 support.
- Free ARA-C01 exam dumps updates for 90 days
- 97% more cost effective than traditional training
- SnowPro Advanced: Architect Certification Practice test to boost your knowledge
- 100% correct SnowPro Advanced Certification questions answers compiled by senior IT professionals
Snowflake ARA-C01 Braindumps
Realbraindumps.com is providing SnowPro Advanced Certification ARA-C01 braindumps which are accurate and of high-quality verified by the team of experts. The Snowflake ARA-C01 dumps are comprised of SnowPro Advanced: Architect Certification questions answers available in printable PDF files and online practice test formats. Our best recommended and an economical package is SnowPro Advanced Certification PDF file + test engine discount package along with 3 months free updates of ARA-C01 exam questions. We have compiled SnowPro Advanced Certification exam dumps question answers pdf file for you so that you can easily prepare for your exam. Our Snowflake braindumps will help you in exam. Obtaining valuable professional Snowflake SnowPro Advanced Certification certifications with ARA-C01 exam questions answers will always be beneficial to IT professionals by enhancing their knowledge and boosting their career.
Yes, really its not as tougher as before. Websites like Realbraindumps.com are playing a significant role to make this possible in this competitive world to pass exams with help of SnowPro Advanced Certification ARA-C01 dumps questions. We are here to encourage your ambition and helping you in all possible ways. Our excellent and incomparable Snowflake SnowPro Advanced: Architect Certification exam questions answers study material will help you to get through your certification ARA-C01 exam braindumps in the first attempt.
Pass Exam With Snowflake SnowPro Advanced Certification Dumps. We at Realbraindumps are committed to provide you SnowPro Advanced: Architect Certification braindumps questions answers online. We recommend you to prepare from our study material and boost your knowledge. You can also get discount on our Snowflake ARA-C01 dumps. Just talk with our support representatives and ask for special discount on SnowPro Advanced Certification exam braindumps. We have latest ARA-C01 exam dumps having all Snowflake SnowPro Advanced: Architect Certification dumps questions written to the highest standards of technical accuracy and can be instantly downloaded and accessed by the candidates when once purchased. Practicing Online SnowPro Advanced Certification ARA-C01 braindumps will help you to get wholly prepared and familiar with the real exam condition. Free SnowPro Advanced Certification exam braindumps demos are available for your satisfaction before purchase order.
Send us mail if you want to check Snowflake ARA-C01 SnowPro Advanced: Architect Certification DEMO before your purchase and our support team will send you in email.
If you don't find your dumps here then you can request what you need and we shall provide it to you.
Bulk Packages
$50
- Get 3 Exams PDF
- Get $33 Discount
- Mention Exam Codes in Payment Description.
Buy 3 Exams PDF
$70
- Get 5 Exams PDF
- Get $65 Discount
- Mention Exam Codes in Payment Description.
Buy 5 Exams PDF
$100
- Get 5 Exams PDF + Test Engine
- Get $105 Discount
- Mention Exam Codes in Payment Description.
Buy 5 Exams PDF + Engine
 Jessica Doe
SnowPro Advanced Certification
We are providing Snowflake ARA-C01 Braindumps with practice exam question answers. These will help you to prepare your SnowPro Advanced: Architect Certification exam. Buy SnowPro Advanced Certification ARA-C01 dumps and boost your knowledge.
|
