Cosmos DB Interview Questions and Answers
Question - 71 : - Why Is Choosing A Throughput For A Table A Requirement?
Answer - 71 : - Azure Cosmos DB sets default throughput on your field primarily based on where you create the desk from - portal or CQL. Azure Cosmos DB provides guarantees for performance and latency, with upper bounds on operation. This guarantee is viable when the engine can put into effect governance on the tenant's operations. Setting throughput guarantees that you get the guaranteed throughput and latency, due to the fact the platform reserves this ability and ensures operation achievement. You can elastically alternate throughput to enjoy the seasonality of your utility and store costs.
Question - 72 : - What Happens When Throughput Is Exceeded?
Answer - 72 : - Azure Cosmos DB affords ensures for performance and latency, with higher bounds on operation. This assure is viable when the engine can implement governance on the tenant's operations. This is feasible based totally on placing the throughput, which ensures that you get the assured throughput and latency, because platform reserves this capability and guarantees operation achievement. When you exceed this ability you get overloaded error message indicating your potential turned into handed. 0x1001 Overloaded: the request can not be processed due to the fact "Request Rate is huge". At this juncture it is vital to peer what operations and their extent causes this issue. You can get an concept approximately ate up capability exceeding the provisioned capacity with metrics at the portal. Then you want to ensure ability is fed on nearly equally across all underlying walls. If you spot maximum of the throughput is fed on via one partition, you've got skew of workload.
Question - 73 : - Does The Primary Key Map To The Partition Key Concept Of Azure Cosmos Db?
Answer - 73 : - Yes, the partition secret's used to region the entity in right place. In Azure Cosmos DB it's miles used to locate right logical partition that is saved on a bodily partition. The partitioning concept is nicely explained in the Partition and scale in Azure Cosmos DB article. The essential remove here is that a logical partition should now not exceed the 10 GB restriction these days.
Question - 74 : - What Happens When I Get A “quota Full" Notification Indicating That A Partition Is Full?
Answer - 74 : - Azure Cosmos DB is a SLA-based machine that gives limitless scale, with guarantees for latency, throughput, availability, and consistency. It's Cassandra API too lets in unlimited garage of statistics. This unlimited storage is based on horizontal scaleout of statistics the usage of partitioning as the key idea. The partitioning concept is well defined within the Partition and scale in Azure Cosmos DB article.
The 10-GB restrict at the variety of entities or items consistent with logical partition you need to adhere to. To make certain that your utility scales well, we endorse which you not create a warm partition by storing all statistics in a single partition and querying it. This error can best come if you statistics is skewed - that is you've got lot of information for one partition key - i.E., more than 10 GB. You can locate the distribution of statistics the usage of the garage portal. Way to restore this mistake is to recreate the table and choose a granular number one (partition key), which lets in better distribution of statistics.
Question - 75 : - Is It Possible To Use Cassandra Api As Key Value Store With Millions Or Billions Of Individual Partition Keys?
Answer - 75 : - Azure Cosmos DB can save unlimited statistics via scaling out the storage. This is independent of the throughput. Yes you can constantly simply use Cassandra API to store and retrieve key/values by means of specifying proper number one/partition key. These character keys get their very own logical partition and take a seat atop bodily partition with out issues.
Question - 76 : - Is It Possible To Create Multiple Tables With Apache Cassandra Api Of Azure Cosmos Db?
Answer - 76 : - Yes, it is feasible to Crete multiple tables with Apache Cassandra API. Each of those tables is handled as unit for throughput and storage.Yes, it is feasible to Crete multiple tables with Apache Cassandra API. Each of those tables is handled as unit for throughput and storage.
Question - 77 : - Is It Possible To Create Multiple Tables In Succession?
Answer - 77 : - Azure Cosmos DB is resource ruled machine for both records and manipulate aircraft activities. Containers like collections, tables are runtime entities which are provisioned for given throughput ability. The introduction of those boxes in short succession is not anticipated interest and throttled. If you have got assessments which drop/create tables at once - please try to area them out.
Question - 78 : - Is It Possible To Bring In Lot Of Data After Starting From Normal Table?
Answer - 78 : - The garage capability is mechanically controlled and will increase as you push in more statistics. So you may expectantly import as a whole lot information as you need with out dealing with and provisioning nodes, and so on.
Question - 79 : - Is It Possible To Supply Yaml File Settings To Configure Apache Casssandra Api Of Azure Cosmos Db Behavior?
Answer - 79 : - Apache Cassandra API of Azure Cosmos DB is a platform provider. It affords protocol level compatibilty for executing operations. It hides away the complexity of control, monitoring and configuration. As a developer/person you do now not want to worry about availability, tombstones, key cache, row cache, bloom filter out and multitude of other settings. Azure Cosmos DB's Apache Cassandra API makes a speciality of providing read and write performance which you require without the overhead of configuration and control.
Question - 80 : - Will Apache Cassandra Api For Azure Cosmos Db Support Node Addition/cluster Status/node Status Commands?
Answer - 80 : - Apache Cassandra API is a platform service which makes potential planning, responding to the pliability needs for throughput & storage a breeze. With Azure Cosmos DB you provision throughput you need. Then you could scale it up and down any variety of instances through the day without disturbing approximately adding/deleting nodes or handling them. This implies you do not want to apply the node, cluster control tool too.