Examinations SnowPro-Core Actual Questions - New SnowPro-Core Test Cram

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Snowflake SnowPro-Core Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Snowflake Platform Features and Architecture	25-30%	- User Interfaces and Connectivity 1. Snowsight 2. SnowSQL 3. Drivers and Connectors - Snowflake Architecture 1. Compute Layer 2. Cloud Services Layer 3. Storage Layer - Platform Features 1. Zero-Copy Cloning 2. Marketplace 3. Time Travel 4. Data Sharing 5. Data Cloud
Topic 2: Data Protection and Data Sharing	10-15%	- Business Continuity 1. Time Travel 2. Replication 3. Fail-safe - Data Sharing 1. Secure Data Sharing 2. Reader Accounts 3. Marketplace Listings
Topic 3: Data Loading and Unloading	10-20%	- Data Export 1. Unload Operations 2. External Locations - Data Ingestion 1. Snowpipe 2. Bulk Loading 3. Stages
Topic 4: Data Transformations	15-20%	- Semi-Structured Data 1. JSON Processing 2. VARIANT Data Type 3. XML and Avro Support - SQL and Data Processing 1. Stored Procedures 2. Streams and Tasks 3. DML Operations
Topic 5: Account and Security	20-25%	- Data Protection 1. Data Masking 2. Encryption 3. Row Access Policies - Access Control 1. Role-Based Access Control (RBAC) 2. User Management 3. Privileges and Roles - Authentication and Security 1. Network Policies 2. Federated Authentication 3. Multi-Factor Authentication
Topic 6: Performance Concepts	10-15%	- Query Performance 1. Caching 2. Micro-Partitions 3. Clustering Concepts - Virtual Warehouses 1. Warehouse Sizing 2. Concurrency and Scaling 3. Auto Suspend and Resume

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Snowflake SnowPro Core Certification Exam Sample Questions (Q612-Q617):

NEW QUESTION # 612
Why would a customer size a Virtual Warehouse from an X-Small to a Medium?

A. To accommodate more queries
B. To accommodate more users
C. To accommodate fluctuations in workload
D. To accommodate a more complex workload

Answer: A

NEW QUESTION # 613
Which Snowflake technique can be used to improve the performance of a query?

A. Indexing
B. Clustering
C. Using INDEX__HINTS
D. Fragmenting

Answer: B

Explanation:
https://docs.snowflake.com/en/user-guide/tables-clustering-keys.html

NEW QUESTION # 614
How can a Snowflake user access a JSON object, given the following table? (Select TWO).

A. SRC:salesperson.name
B. src:sa1esPerson. name
C. SRC:salesperson.Name
D. src:salesperson.name
E. src:salesperson.Name

Answer: D,E

Explanation:
To access a JSON object in Snowflake, dot notation is used where the path to the object is specified after the column name containing the JSON data. Both lowercase and uppercase can be used for attribute names, so both "name" and "Name" are valid. References: [COF-C02] SnowPro Core Certification Exam Study Guide

NEW QUESTION # 615
During periods of warehouse contention which parameter controls the maximum length of time a warehouse will hold a query for processing?

A. MAX_CONCURRENCY__LEVEL
B. STATEMENT_QUEUED_TIMEOUT_IN_SECONDS
C. QUERY_TIMEOUT_IN_SECONDS
D. STATEMENT_TIMEOUT__IN__SECONDS

Answer: B

Explanation:
The parameter STATEMENT_QUEUED_TIMEOUT_IN_SECONDS sets the limit for a query to wait in the queue in order to get its chance of running on the warehouse. The query will quit after reaching this limit. By default, the value of this parameter is 0 which mean the queries will wait indefinitely in the waiting queue
https://community.snowflake.com/s/article/Warehouse-Concurrency-and-Statement-Timeout-Parameters#:~:text=The%20parameter%20STATEMENT_QUEUED_TIMEOUT_IN_SECONDS%20sets%20the,indefinitely%20in%20the%20waiting%20queue.

NEW QUESTION # 616
When reviewing a query profile, what is a symptom that a query is too large to fit into the memory?

A. The query is spilling to remote storage
B. An AggregateOperacor node is present
C. A single join node uses more than 50% of the query time
D. Partitions scanned is equal to partitions total

Answer: A

NEW QUESTION # 617
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