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Snowflake DEA-C01 Exam Syllabus Topics:

Section	Objectives
Topic 1: Semi-Structured and Advanced Data Handling	- Semi-structured data processing 1. VARIANT data type usage 2. JSON, Avro, Parquet handling - Advanced transformation techniques 1. Flattening nested data 2. Complex transformations in SQL
Topic 2: Performance Optimization	- Query performance tuning 1. Clustering and micro-partitions 2. Caching mechanisms - Warehouse optimization 1. Concurrency management 2. Scaling strategies
Topic 3: Data Pipelines and Transformation	- ETL/ELT design patterns in Snowflake 1. Data orchestration concepts 2. Staging and transformation layers - Streams and Tasks 1. Automating pipelines with Tasks 2. Change Data Capture (CDC) with Streams
Topic 4: Data Engineering Fundamentals on Snowflake	- Snowflake architecture for data engineering 1. Virtual warehouses and compute scaling 2. Storage and compute separation - Data ingestion concepts 1. Continuous ingestion concepts 2. Batch loading strategies
Topic 5: Security, Governance, and Data Sharing	- Access control 1. Object-level permissions 2. Role-based access control (RBAC) - Data governance 1. Data masking policies 2. Secure data sharing concepts
Topic 6: Data Loading and Integration	- Bulk data loading 1. File format handling 2. COPY INTO command usage - Snowpipe and continuous ingestion 1. Event-driven loading 2. Automated ingestion workflows

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Snowflake SnowPro Advanced: Data Engineer Certification Exam DEA-C01 Prüfungsfragen mit Lösungen (Q88-Q93):

88. Frage
What is the primary purpose of data lineage in data engineering?

A. To transform data formats.
B. To trace the source and flow of data.
C. To optimize query performance.
D. To create visualizations.

Antwort: B

89. Frage
Mark the incorrect statement when Data Engineer implement Automating Continuous Data Loading Using Cloud Messaging?

A. When a pipe is paused, event messages received for the pipe enter a limited retention period. The period is 14 days by default. If a pipe is paused for longer than 14 days, it is considered stale.
B. Automated Snowpipe uses event notifications to determine when new files arrive in monitored cloud storage and are ready to load.
C. Triggering automated Snowpipe data loads using S3 event messages is supported by Snowflake accounts hosted on Cloud Platform like AWS, GCP or AZURE.
D. Notifications identify the cloud storage event and include a list of the file names. They do not include the actual data in the files.

Antwort: C

Begründung:
Explanation
Triggering automated Snowpipe data loads using S3 event messages is supported by Snowflake ac-counts hosted on Amazon Web Services (AWS) only.
Rest is correct statements.

90. Frage
A company is setting up a new Amazon SageMaker Unified Studio domain. Each of the company's business units needs isolated control over its own assets, projects, and metadata.
Specific datasets must be shareable with other business units upon approval. The company also requires centralized user authentication and identity mapping. Which solution will meet these requirements?

A. Configure each business unit as a domain unit with delegated ownership and fine-grained permissions policies. Give users the ability to share assets across domain units with explicit access control. Assign API keys to users for authentication to access the domain portal.
B. Configure business units to be represented as separate domains. Establish isolated environments with no shared administrative policies. Configure AWS IAM Identity Center for centralized authentication. Delegate administration at the domain level.
C. Configure business units as separate domain units with owner permissions. Restrict projects exclusively to owners to prevent data sharing between domains. Configure AWS IAM Identity Center for centralized authentication. Map user profiles to their respective domain units.
D. Configure each business unit as a separate domain unit to manage permissions on assets, projects, and metadata. Configure AWS IAM Identity Center for centralized authentication. Map user profiles to their respective domain units. Enable cross-business unit sharing through access requests. Instruct domain unit owners to approve or deny the requests.

Antwort: D

Begründung:
SageMaker Unified Studio supports domain units within a single domain to provide isolation of assets, projects, and metadata while still allowing controlled sharing between units. Using AWS IAM Identity Center provides centralized authentication and identity mapping. Cross-unit sharing with approval workflows ensures datasets can be shared securely while maintaining isolation and least privilege.

91. Frage
A large e-commerce company manages a single S3 bucket containing product images, customer data, and marketing materials. Different departments within the company require access to specific data sets, but granting access to the entire bucket for each department poses a security risk.
What AWS service can be implemented to provide granular access control and simplify permission management for various departments while using a single S3 bucket?

A. S3 Object Ownership
B. Bucket ACLs
C. IAM User Groups with bucket policies
D. S3 Access Pointsright

Antwort: D

Begründung:
S3 Access Points offer a more efficient and secure solution. You can create multiple access points for the single S3 bucket, each with a unique namespace. These access points can then be assigned specific IAM policies that grant granular access control for different departments.
Reference:
https://aws.amazon.com/s3/features/access-points/

92. Frage
Which stages support external tables?

A. internal stages only from any Snowflake account in the organization
B. External stages only from any region, and any cloud provider
C. Internal stages only; within a single Snowflake account
D. External stages only, only on the same region and cloud provider as the Snowflake account

Antwort: B

Begründung:
Explanation
External stages only from any region, and any cloud provider support external tables. External tables are virtual tables that can query data from files stored in external stages without loading them into Snowflake tables. External stages are references to locations outside of Snowflake, such as Amazon S3 buckets, Azure Blob Storage containers, or Google Cloud Storage buckets. External stages can be created from any region and any cloud provider, as long as they have a valid URL and credentials. The other options are incorrect because internal stages do notsupport external tables. Internal stages are locations within Snowflake that can store files for loading or unloading data. Internal stages can be user stages, table stages, or named stages.

93. Frage
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