In order to store values in terms of key and value we use what core data type
6.) Carefully observe the code and give the answer.
def example(a): Show B.) Cannot perform mathematical operation on strings C.) Indentation Error D.) hello2hello2 7.) What data type is the L in below code? L = [1, 23, 'hello', 1] B.) array C.) tuple D.) dictionary 8.) In order to store values in terms of key and value we use what core data type in python? Options are:A.) List B.) dictionary C.) class D.) tuple 9.) Which of the following results in a SyntaxError. Options are:A.) "'That's okay'" B.) "He said, "Yes!"" C.) '"Once upon a time�", she said.' D.) '3' 10.) The following is displayed by a print function call: tom Which function call from below print above output? B.) print(�tom dick harry�) C.) print(��tom dick harry��) dick harry��) In DynamoDB, tables, items, and attributes are the core components that you work with. A table is a collection of items, and each item is a collection of attributes. DynamoDB uses primary keys to uniquely identify each item in a table and secondary indexes to provide more querying flexibility. You can use DynamoDB Streams to capture data modification events in DynamoDB tables. There are limits in DynamoDB. For more information, see Service, account, and table quotas in Amazon DynamoDB. The following video will give you an introductory look at tables, items, and attributes. Tables, items, and attributes Tables, items, and attributesThe following are the basic DynamoDB components:
The following diagram shows a table named People with some example items and attributes.
Note the following about the People table:
The following is another example table named Music that you could use to keep track of your music collection.
Note the following about the Music table:
For more information, see Working with tables and data in DynamoDB. Primary keyWhen you create a table, in addition to the table name, you must specify the primary key of the table. The primary key uniquely identifies each item in the table, so that no two items can have the same key. DynamoDB supports two different kinds of primary keys:
The partition key of an item is also known as its hash attribute. The term hash attribute derives from the use of an internal hash function in DynamoDB that evenly distributes data items across partitions, based on their partition key values. The sort key of an item is also known as its range attribute. The term range attribute derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value. Each primary key attribute must be a scalar (meaning that it can hold only a single value). The only data types allowed for primary key attributes are string, number, or binary. There are no such restrictions for other, non-key attributes. Secondary indexesYou can create one or more secondary indexes on a table. A secondary index lets you query the data in the table using an alternate key, in addition to queries against the primary key. DynamoDB doesn't require that you use indexes, but they give your applications more flexibility when querying your data. After you create a secondary index on a table, you can read data from the index in much the same way as you do from the table. DynamoDB supports two kinds of indexes:
Each table in DynamoDB has a quota of 20 global secondary indexes (default quota) and 5 local secondary indexes. In the example Music table shown previously, you can query data items by Artist (partition key) or by Artist and SongTitle (partition key and sort key). What if you also wanted to query the data by Genre and AlbumTitle? To do this, you could create an index on Genre and AlbumTitle, and then query the index in much the same way as you'd query the Music table. The following diagram shows the example Music table, with a new index called GenreAlbumTitle. In the index, Genre is the partition key and AlbumTitle is the sort key. Music TableGenreAlbumTitle
Note the following about the GenreAlbumTitle index:
You can query the GenreAlbumTitle index to find all albums of a particular genre (for example, all Rock albums). You can also query the index to find all albums within a particular genre that have certain album titles (for example, all Country albums with titles that start with the letter H). For more information, see Improving data access with secondary indexes. DynamoDB StreamsDynamoDB Streams is an optional feature that captures data modification events in DynamoDB tables. The data about these events appear in the stream in near-real time, and in the order that the events occurred. Each event is represented by a stream record. If you enable a stream on a table, DynamoDB Streams writes a stream record whenever one of the following events occurs:
Each stream record also contains the name of the table, the event timestamp, and other metadata. Stream records have a lifetime of 24 hours; after that, they are automatically removed from the stream. You can use DynamoDB Streams together with AWS Lambda to create a trigger—code that runs automatically whenever an event of interest appears in a stream. For example, consider a Customers table that contains customer information for a company. Suppose that you want to send a "welcome" email to each new customer. You could enable a stream on that table, and then associate the stream with a Lambda function. The Lambda function would run whenever a new stream record appears, but only process new items added to the Customers table. For any item that has an 2 attribute, the Lambda function would invoke Amazon Simple Email Service (Amazon SES) to send an email to that address.In this example, the last customer, Craig Roe, will not receive an email because he doesn't have an 2.In addition to triggers, DynamoDB Streams enables powerful solutions such as data replication within and across AWS Regions, materialized views of data in DynamoDB tables, data analysis using Kinesis materialized views, and much more. What is the data structure used for store key value pair Mcq?Explanation: A hash table is used to implement associative arrays which has a key-value pair, so the has table maps keys to values.
What is used to store a value in Python?Lists, sets, and dictionaries are the most common ways to store data. In this blog post, I will show you how you can use them, why you would want to use them, and what features each data structure has to offer. The first data structure I will talk about is probably the most commonly used in Python - lists.
What is the data structure used for store key value pair Mcq in Python?A hash table is a data structure that is used to store keys/value pairs.
Which of these are core data types?Core Data Types. Data Type Ranges. This topic describes the range of valid values for the core built-in 4Test data types.. AGENTOPTION Data Type. ... . AGENTSWITCH Data Type. ... . ALIGNMENT Data Type. ... . ANYTYPE Data Type. ... . APPID Data Type. ... . ARRAY Data Type. ... . BOOLEAN Data Type.. |