SAP C_WZADM_01 Exam
SAP Certified Application Associate - SAP Build Work Zone - Implementation and Administration

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rey Commented on July 26, 2025
reliable questionaires
EUROPEAN UNION

rey Commented on July 26, 2025
very interesting topics, this helped me a lot
EUROPEAN UNION

chatbot Commented on July 26, 2025
The questions offer a great help in preparation. These are related to topics in exam
Anonymous

prasanna Commented on July 26, 2025
The questions are very helpful after completing the study materials and before the exam! Thanks
UNITED STATES

rey Commented on July 26, 2025
usable contents, very helpful
EUROPEAN UNION

rey Commented on July 26, 2025
great questions, reliable
EUROPEAN UNION

Suchi Commented on July 26, 2025
great content
Anonymous

Suchi Commented on July 26, 2025
Great material
Anonymous

mark Commented on July 26, 2025
amazing contents
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gm Commented on July 26, 2025
Question 123 - False - Reader accounts in Snowflake are designed for accessing and querying data shared by a provider, but they cannot extract that data for use outside of the Snowflake environment. They are primarily used for data consumption within Snowflake.
Anonymous

Atul Commented on July 26, 2025
Answer to Question 55 is A GAN as it is used for the data generation. Option C is not correct.
Anonymous

gm Commented on July 26, 2025
Q109 - False because owned by role not by user
Anonymous

Alex Commented on July 26, 2025
very good questions
ROMANIA

gm Commented on July 26, 2025
91 - Answer should be True AWS PrivateLink can be used to establish a secure, private connection between a customer's on-premise data center (via AWS Direct Connect) and Snowflake. This connection bypasses the public internet, enhancing security and reducing the risk of data exposure.
Anonymous

Amit Commented on July 26, 2025
Detailed and specific - stick to the foundational themes to test your knowledge and you will succeed
Anonymous

mark Commented on July 26, 2025
very informative
EUROPEAN UNION

gm Commented on July 26, 2025
Question 77: Answer should be all Bulk copy from an External Stage: This involves using the COPY INTO command to load data from files stored in external cloud storage locations (e.g., Amazon S3, Azure Blob Storage, Google Cloud Storage) into a Snowflake table. Continuous load using Snowpipe REST API: Snowpipe enables continuous data loading from staged files as soon as they become available. The Snowpipe REST API can be used to trigger the loading process for new files in an external stage. The Snowflake Web Interface (UI) data loading wizard: Snowsight, Snowflake's web interface, provides a user-friendly wizard that guides users through the process of loading data into tables, often from local files or staged files. Bulk copy from an Internal Stage: Similar to external stages, data can be bulk loaded from internal stages (storage locations within Snowflake) into tables using the COPY INTO command. Files can be placed in internal stages using commands like PUT.
Anonymous

gm Commented on July 26, 2025
Question 68: Explanation: INSERT: When inserting data into a table, Snowflake usually writes to new partitions, allowing other queries to access the existing data simultaneously. COPY: Similar to INSERT, the COPY command often writes to new partitions, enabling parallel execution with other operations. Why other options are incorrect: UPDATE: This command modifies existing data in a table, which requires locking the affected rows to prevent conflicts. This makes it a blocking operation, meaning other queries that need to access the same rows will have to wait until the UPDATE finishes. MERGE: Like UPDATE, the MERGE command modifies data in a table, requiring locks and thus being a blocking operation. It combines data from multiple sources into a target table, which can involve modifying existing rows.
Anonymous

mark Commented on July 26, 2025
very interesting
EUROPEAN UNION

Kannamani Ramasamy Commented on July 26, 2025
Good practice questions
Anonymous

lp Commented on July 25, 2025
good set of questions to help prep
UNITED STATES

gm Commented on July 25, 2025
Question 59 - False. In Snowflake, when a role is created, the role that is active at the time of creation is assigned ownership, not the individual user. This ownership can be transferred to another role using the GRANT OWNERSHIP command.
SINGAPORE

gm Commented on July 25, 2025
Question 48 - ? They roll up and release approximately monthly, but customers can request early release application. - While behavior changes are bundled monthly, releases themselves are weekly. Early access is available for Enterprise Edition and higher, but this applies to weekly releases, not monthly rollups. ? A customer is assigned a 30-minute window during which the system will be unavailable and upgraded. - Snowflake upgrades are seamless and do not involve downtime. Customers are not assigned maintenance windows.
SINGAPORE

gm Commented on July 25, 2025
Question 42 - Explaining why not others ? Snowflake tables are the physical instantiation of data: This is misleading because Snowflake abstracts physical storage from users. ? Clustering keys are required for optimal performance: Clustering keys are optional and used for very large tables to improve query performance, but not required. ? Snowflake tables are owned by a user: Tables are owned by roles, not individual users, as part of Snowflake's role-based access control (RBAC) model.
SINGAPORE

MK Commented on July 25, 2025
excellent website for preparing for the ms 900 exam
UNITED STATES

gm Commented on July 25, 2025
Question 37: Explaination - Here are the three correct statements about Snowflake data loading: ? VARIANT "null" values are not the same as SQL NULL values In Snowflake, the string "null" stored in a VARIANT column is treated as a string, not as a SQL NULL. This distinction is important when querying or transforming semi-structured data like JSON. ? It is recommended to validate the data before loading into the Snowflake target table Validating data helps ensure integrity, prevents errors during loading, and avoids polluting production tables with bad or malformed data. ? It is recommended to use staging tables to manage MERGE statements Staging tables allow for cleaner, more controlled data transformations and help manage complex MERGE operations efficiently. ? It is recommended to do frequent, single row DMLs This is not recommended. Snowflake is optimized for bulk operations. Frequent single-row DMLs (INSERT, UPDATE, DELETE) can be inefficient and costly.
SINGAPORE

gm Commented on July 25, 2025
True or False: A third-party tool that supports standard JDBC or ODBC but has no Snowflake-specific driver will be unable to connect to Snowflake. Answer should be False because Snowflake provides standard JDBC and ODBC drivers that allow connections from tools supporting these standards
SINGAPORE

gm Commented on July 25, 2025
Helpful questions
SINGAPORE

Ankitha Commented on July 25, 2025
Its very useful
UNITED STATES

ADB Commented on July 25, 2025
very relevant questions providing accurate answers which helps in certification preparation
INDIA

Ricardo Nelumba Commented on July 25, 2025
On question 49, answer B makes more sense because Athena requires files to be in queryable formats (e.g., CSV/JSON), not audio/text transcripts. Glacier Select has high latency (hours).
Anonymous

Nayeh Commented on July 25, 2025
Anyone passed exam recently? shade a light on questions asked from here
Anonymous

ADB Commented on July 25, 2025
this questions provides contextual insights for exam preparations
INDIA

cc Commented on July 25, 2025
nice questions
JAPAN

cuuns Commented on July 25, 2025
good questioins
JAPAN

harry Commented on July 25, 2025
great content
JAPAN

BV Commented on July 25, 2025
The answer to question 34 is incorrect. It should be: ALTER TABLE ... ADD CONSTRAINT ... PRIMARY KEY NONCLUSTERED NOT ENFORCED Fabric does not support clustered index primary keys and does not support enforcing constraints.
CANADA

Maarten Commented on July 25, 2025
Looking good
NETHERLANDS

Riya Commented on July 25, 2025
Very helpful
Anonymous

Riya Commented on July 25, 2025
Very good and helpful
Anonymous

ghostdog248 Commented on July 25, 2025
Wish you all the best
Anonymous

AL Commented on July 25, 2025
Good content
SPAIN

Abhijeet Commented on July 25, 2025
Good questions
Anonymous

Lucky Commented on July 25, 2025
I'm currently preparing for the CompTIA 220-1101 exam and finding the mix of hardware, networking, and mobile device topics both challenging and exciting. I've been using practice tests and flashcards to reinforce my learning. For those who’ve already taken the exam — any tips on which sections are most heavily tested or common pitfalls to watch out for? Would love to hear how others are preparing too!
Anonymous

Shengavit Commented on July 25, 2025
Thank you for this resource! It was very helpful and played a big role in helping me reach my goal. Great work!
ARMENIA

Shengo Commented on July 25, 2025
Very useful !
ARMENIA

Arjith Commented on July 25, 2025
Really great content. very helpful
INDIA

Aldo - Philippines Commented on July 25, 2025
Very helpful questionnaires in preparing for my exam.
UNITED STATES

BV Commented on July 24, 2025
The answer to question 36 is "Yes" (A). The current answer is wrong, as well as the explanation (not specifying the order explicitly does not invalidate the solution).
CANADA

MAGICBUNNIEZ Commented on July 24, 2025
To mitigate the risk of sensitive data exfiltration after a data classification initiative, the most effective solution among the given options is: DLP (Data Loss Prevention) Why DLP? DLP solutions are specifically designed to detect and prevent unauthorized transfers or exfiltration of sensitive data. They can monitor, classify, and block sensitive data (e.g., PII, financial records, intellectual property) from being emailed, uploaded, or copied outside the organization. DLP enforces policies based on data classification, ensuring compliance with regulations like GDPR, HIPAA, or PCI DSS. Other Options (Less Relevant for Data Exfiltration Mitigation): XDR (Extended Detection and Response) – Focuses on threat detection and response, not necessarily preventing data exfiltration directly. SPF (Sender Policy Framework) – Helps prevent email spoofing but does not stop data leaks. DMARC (Domain-based Message Authentication, Reporting & Conformance) – Improves email authentication but d
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