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Microsoft 70-777 valid - in .pdf

70-777 pdf
  • Exam Code: 70-777
  • Exam Name: Implementing Microsoft Azure Cosmos DB Solutions
  • Q & A: 60 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: 70-777
  • Exam Name: Implementing Microsoft Azure Cosmos DB Solutions
  • Q & A: 60 Questions and Answers
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  • Exam Code: 70-777
  • Exam Name: Implementing Microsoft Azure Cosmos DB Solutions
  • Q & A: 60 Questions and Answers
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Topics of 70-777: Implementing Microsoft Azure Cosmos DB Solutions Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our 70-348:Managing Projects and Portfolios with Microsoft exam dumps will include the following topics:

1. Partition and Model Data

Plan a partitioning strategy

  • Select a partition key for a container; differentiate between partition keys and partition key ranges; partition data across multiple containers; calculate throughput distribution across partition key ranges; control cross-partition queries; plan for transactions

Model data based on business use cases

  • Identify when to co-locate data within the same container or across multiple containers; identify when to co-locate data within the same partition key or across multiple partition keys; identify when to co-locate data within the same document or across multiple documents; share properties between documents

2. Replicate Data Across the World

Implement global distribution and high availability

  • Replicate data to additional regions; define automatic failover policies for disaster recovery; perform manual failovers to change the write region; set the preferred location of applications for low-latency access; design patterns for multi-write regions; resolve conflicts surfaced by the conflict feed

Select a data consistency approach based on business use cases

  • Identify use cases for consistencies; differentiate between consistencies by using characteristics; differentiate between consistencies by using trade-offs between performance and consistency; use session tokens

3. Tune and Debug Azure Cosmos DB Solutions

Estimate and provision request units

  • Differentiate requests and request units; retrieve request unit cost of an operation; estimate request unit allocation for a container; tune throughput for uneven workloads and manage throttling; monitor Azure portal metrics; recommend solutions based on query metrics

Tune container settings

  • Manage lifecycle of data by using TTL; tune an index policy; include and exclude properties from index paths

Implement security

  • Secure access to data; rotate keys; understand encryption at rest and in transit; configure IP firewalls; create and manage users; configure fine-grained access to resources

Debug a Cosmos DB solution

  • Configure diagnostic logging; recommend solutions based on data retrieved from logs; evaluate response status code categories; throttle; review metrics and performance tips

4. Perform Integration and Develop Solutions

Develop applications with the SQL API

  • Optimize SDK and concurrency control; Tune request options for CRUD and queries; examine response headers; implement optimistic concurrency control with ETAG; query geospatial data; use advanced SQL query operators for complex documents (nested objects and arrays); perform intra-document JOINs; perform SQL queries; implement user-defined functions; use multi-record transactions with stored procedures; implement a continuation model for bounded execution with stored procedures; implement server-side logic and transactions

Migrate from MongoDB to MongoDB API in Cosmos DB

  • Choose appropriate tools to migrate data; transfer data

Implement event-driven applications by using Azure functions, triggers and Cosmos DB change feed

  • Use Cosmos DB triggers for Azure functions; change feed mechanics

Analyze Cosmos DB data with Apache Spark connector

  • Set up and configure a Cosmos DB Spark connector; push down predicates

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70-777: Implementing Microsoft Azure Cosmos DB Solutions Exam Certification Path

70-777: Implementing Microsoft Azure Cosmos DB Solutions Exam is foundation level Certification. As such There is no prerequisite for this course. Anyone who is having keen and familiar with Microsoft technology are well invited to pursue this certification.

Microsoft 70-777 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Tune and Debug Azure Cosmos DB Solutions25%- Implement security
  • 1. Configure fine-grained resource access
  • 2. Secure access to data
  • 3. Rotate keys
  • 4. Configure IP firewalls
  • 5. Configure encryption
  • 6. Create and manage users
- Estimate and provision request units
  • 1. Manage throttling and uneven workloads
  • 2. Retrieve request unit costs
  • 3. Estimate throughput allocation
  • 4. Analyze query metrics
  • 5. Monitor Azure metrics
  • 6. Differentiate requests and request units
- Debug Cosmos DB solutions
  • 1. Evaluate response status codes
  • 2. Investigate throttling issues
  • 3. Configure diagnostic logging
  • 4. Analyze logs and metrics
- Tune container settings
  • 1. Include and exclude indexed properties
  • 2. Manage data lifecycle with TTL
  • 3. Tune indexing policies
Topic 2: Replicate Data Across the World25%- Implement global distribution and high availability
  • 1. Configure automatic failover policies
  • 2. Design multi-write region patterns
  • 3. Replicate data to additional regions
  • 4. Perform manual failovers
  • 5. Configure preferred application locations
  • 6. Resolve conflict feed conflicts
- Select a data consistency approach
  • 1. Identify consistency model use cases
  • 2. Use session tokens
  • 3. Compare consistency characteristics
  • 4. Evaluate performance versus consistency trade-offs
Topic 3: Develop Azure Cosmos DB Solutions25%- Migrate from MongoDB to Cosmos DB
  • 1. Transfer data
  • 2. Select migration tools
- Analyze Cosmos DB data with Apache Spark
  • 1. Configure Cosmos DB Spark connector
  • 2. Implement predicate pushdown
- Implement event-driven applications
  • 1. Use Azure Functions triggers
  • 2. Implement Cosmos DB change feed solutions
- Develop applications with the SQL API
  • 1. Optimize SDK usage and concurrency control
  • 2. Examine response headers
  • 3. Use advanced SQL query operators
  • 4. Implement optimistic concurrency with ETAG
  • 5. Perform intra-document joins
  • 6. Implement user-defined functions
  • 7. Tune CRUD and query request options
  • 8. Query geospatial data
  • 9. Implement stored procedures and transactions
Topic 4: Partition and Model Data25%- Plan a partitioning strategy
  • 1. Calculate throughput distribution across partition key ranges
  • 2. Differentiate partition keys and partition key ranges
  • 3. Control cross-partition queries
  • 4. Plan for transactions
  • 5. Partition data across multiple containers
  • 6. Select partition keys for containers
- Model data based on business use cases
  • 1. Share properties between documents
  • 2. Determine data colocation within containers
  • 3. Determine data colocation within partition keys
  • 4. Determine data colocation within documents

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