- range and spatial
- secondary and primary key
- secondary and spatial
- range and primary key
Q2. You want to connect a DynamoDB stream to AWS Lambda function. Which one of these object do you create?
- DynamoDB table
- DynamoDB trigger
- DynamoDB item
- DynamoDB index
- partial
- sparse
- compound
- multikey
- Set up Hadoop in pseudo-distributed mode.
- Set up HBASE in local mode.
- Set up HBASE in pseudo-distributed mode.
- Set up Hadoop in local mode.
Q5. You need to create a document database that supports database triggers. Which NoSQL database should you use?
- DynamoDB
- BigTable
- Redis
- MongoDB
- medium
- short
- single bit
- long
- Scores
- Ids
- Values
- Keys
- Dump the collection data, drop the collection, create a new collection and shard key, import the data.
- Add second shard key and drop the first shard key.
- Dump the collection data, drop the collection, presplit the data, create a new collection and shard key, import the data.
- Drop and recreate the shard key.
- Security systems
- Database systems
- Storage systems
- Query systems
Q10. You need to implement the simplest possible scalable, in-memory cache for your AWS application. Which service do you select?
- Elasticache using Memcached.
- DynamoDB.
- DynamoDB Accelerator (DAX).
- Elasticache using Redis.
Q11. You are doing data modelling for Google BigTable. Which statement expresses if and when you should split entities across multiple rows?
- Keep all information for an entity in a single row. Store related entities in adjacent rows.
- Keep all information for an entity in a single row.
- Split entities across multiple rows if the entity data is over thousands of MBs, or if it does not need atomic updates and reads.
- Split entities across multiple rows if the entity data is over hundreds of MBs, or if it does not need atomic updates and reads.
- Key-value data model; transactionally consistent with ACID semantics.
- Document data model; transactionally consistent with ACID semantics.
- Key-value data model; transactions with tunable consistency.
- Document data model; transactions with tunable consistency.
- Designate all three fields as the primary key.
- Concatenate all three fields into one new field, then designate that new field as the primary key.
- Designate two fields of the three fields as the primary key.
- Concatenate two fields into one new field, then designate that new field and the remaining field as the primary key.
- multi-valued identifiers
- string identifiers
- timestamps
- frequently updated identifiers
Q15. Your startup is building a prototype that has an evolving schema. Your data will be eventually consistent. Your application is hosted in AWS. Which database do you choose?
- Neptune
- DocumentDB
- DynamoDB
- Amazon Aurora
Q16. You need to create a scalable database that allows you to share documents across authorized mobile clients in real time. What Google NoSQL database should you use?
- Memorystore
- Datastore
- Firebase
- Bigtable
Q17. You need to design security for DynamoDB to allow users read-only access to certain items and attributes in a table. What do you do?
- Use IAM roles.
- Use IAM policy conditions.
- Use a VPC endpoint.
- Use IAM policies.
- MATCH (:Person)-->(:Card)-->(:Company) RETURN count(vehicle)
- Match (:Person)-->(:Car):(vehicle:Car)-->(:Company) RETURN count(vehicle)
- MATCH (:Person)-->(vehicle:Car)-->(:Company) RETURN count(vehicle)
- MATCH (:Person)-->(:Card), (vehicle:Car)-->(:Company) RETURN count(vehicle)
Q19. You need multi-item ACID transactions with snapshot isolation within a partition for your cloud-based application. Which NoSQL databse do you choose?
- Bigtable
- GraphDB
- DynamoDB
- Cosmos DB
Q20. You need to control your application's batch updates destination for your Bigtable multinode cluster. Which action do you take?
- Create a custom app profile to route batch updates.
- Create a custom app profile to route the batch update from that client.
- Update the default app profile to route the natch update from that client.
- Use the default app profile to route batch updates.
Q21. Your query to verify that your Redis key is configured to support expiring user information on a defined interval returns -2, What does this value indicate?
- The queried key value expired in the last two seconds.
- The queried key value exists, but has no associated expire value.
- The queried key value does not exist.
- There are two expired keys with this value.
Q22. You are designing a MongoDB schema to support queries that will include lookups. What should you do?
- Create an index on the key value used as the primary key.
- Create an index on the key value used as the foreign key.
- Create a multicolumn index on the key value used as the foreign key and the most unique column in the document.
- Create a multicolumn index on the key value used as the primary and also the foreign key.
- $group
- $match
- $lookup
- $project
Q24. For your mobile application, you need to select a Google cloud database that can support compound, filtered document queries. Which do you choose?
- Cloud SQL
- Cloud Spanner
- Cloud Firestore
- Cloud Firebase
- Upload data to S3 VPC endpoint, Use the Neptune loader to load from s3 into your Neptune instance
- Ad data to a Kinesis stream, and use the Neptune loader to load from S# into your Neptune instance.
- Add data to a Kinesis stream, and create a Kinesis stream VPC endpoint. Use the Neptune loader to load from S3 into your Neptune instance.
- Upload data to S Use the Neptune loader to load from S3 into your Neptune instance.
- Neo4j
- Cassandra
- Redis
- MyS#### QL
- horizontally, infinitely
- vertically, horizontally
- vertically, infinitely
- horizontally, vertically
Q28. You need to create a scalable database that allows you to query data nodes and edges efficiently. What do you use?
- a relational database
- a columnstore database
- a document database
- a graph database
Q29. You are developing a model for a graph database. Your data will be moved from a relational database into Neo4j. Which of these transformations apply?
- Rows become labels: bales become nodes.
- Tables become labels: rows become nodes.
- Tables become collections: rows become items.
- Rows become collections: tables become items.
Q30. You need to execute a command for MongoDB that does NOT load values from the .mongorc.js
file. What do you do ?
- Delete the .monorc.js file and restart mongo shell.
- Use the mongo shell to create a command with --norc option
- Rem all lines in the .mongorc.js file ad restart mongo shell.
- Use the mongo shell to create a command with --nodedefault option.
Q31. You need to store an unordered collection of name-value pairs with differing data types in DynamoDB. Which data type should you choose?
- map
- set
- list
- stack
- aws dynamodb query --table-name MusicCollection --key file://key.json
- aws dynamodb get-item --table-name MusicCollection --key file://key.json
- aws dynamodb select --table-name MusicCollection --key file://key.json
- aws dynamodb put-item --table-name MusicCollection --key file://key.json
- the amount of service calls
- the number of minutes
- the amount of service costs
- the number of nines
- You assign a default AWS encryption key to your table to encrypt data.
- You create an AWS encryption key and assign it to your table to encrypt data.
- None. Data is encrypted by default.
- You create an AWS encryption key and assign it to your database to encrypt data.
Q35. You need to generate a unique, sequential identifier for each value stored in a Redis cluster. What do you do?
- Implement a SortedSet object to generate a value.
- Use the GUID keyword to generate a value.
- Implement a List object to generate a value.
- Use the INCR keyword to generate a value
- smembers
- returnall
- sunion
- sismember
Q37. Which method shows you whether MongoDB uses any indexes when running a query, and how the indexes are used?
- detailQueryExecution()
- showPlan()
- explain()
- describe()
- The global secondary indexes in DynamoDB are consistent, and are not guaranteed to return correct results.
- The global secondary indexes in DynamoDB are transactionally consistent, and are guaranteed to return correct results.
- The global secondary indexes in DynamoDB are partially consistent, and are not guaranteed to return correct results.
- The global secondary indexes in DynamoDB are eventually consistent, and are not guaranteed to return correct results.
- ADD mystream * sensor-id 1234 temperature 19.8 1518951480106-1
- UPDATE mystream * sensor-id 1234 temperature 19.8 1518951480106-3
- XADD mystream * sensor-id 1234 temperature 9.8 1518951480106-0
- INSERT mystream * sensor-d 1234 temperature 19.8 15181480106-2
Q40. Which code example completes this statement and creates an index for a MongoDB object named restaurants, sorted ascending by the field name?
var indexCollection = function(db) {return co(function*() {...});};
-
const results = yield db.table('restaurants').createIndex({"name": 1}, null); return results;
-
const results = yield db.collection('restaurants').createIndex({"name": 0}, null); return results;
-
const results = yield db.collection('restaurants').createIndex({"name": 1}, null); return results;
-
const results = yield db.table('restaurants').createIndex({"name": 0}, null); return results;
- A
MATCH (c:Company {name: 'Neo4j'}) RETURN c, MATCH (p:Person) WHERE p.name = 'Jennifer' RETURN p,
MATCH (t:Technology)-[:LIKES]-(a:Person {name: 'Jennifer'}) RETURN t.type;
- B
MATCH (c:Company {name: 'Neo4j'}) RETURN c, MATCH (p:Person) WHERE p.name = 'Jennifer' RETURN p,
MATCH (t:Technology)-[:LIKES]-(a:Person {name: 'Jennifer'}) RETURN t.type
- C
MATCH (c:Company {name: 'Neo4j'}) RETURN c AND MATCH (p:Person) WHERE p.name = 'Jennifer' RETURN p,
AND MATCH (t:Technology)-[:LIKES]-(a:Person {name: 'Jennifer'}) RETURN t.type;
- D
MATCH (c:Company {name: 'Neo4j'}) RETURN c;MATCH (p:Person) WHERE p.name = 'Jennifer' RETURN p;
MATCH (t:Technology)-[:LIKES]-(a:Person {name: 'Jennifer'}) RETURN t.type;
[Explaination:]The correct Cypher code to execute a multiquery block would use commas to separate each query in a single statement. In this case, option B has all the queries separated by commas, making it the correct choice. Option A has the correct queries, but they are separated by "RETURN" which is not correct syntax for multiquery. Option C has an additional "AND" before the second query which is also not correct syntax. Option D has each query separated by semicolons, which would execute them as separate queries, not as a multiquery block.
- A ledger database
- A graph database
- A key-value database
- A columnstore database
Q43. You need to create a data store for the catalog for your new ecommerce application. Your company is a startup, so the catalog schema may evolve. Which do you choose?
- Neo4j
- Redis
- MySQL
- MongoDB
Q44. You need to select a NoSQL database for heavy aggregate query workloads. Which type do you choose?
- graph
- key-value
- document
- columnstore
Q45. You need to select a columnstore database that enforce built-in data types. You want to add indexes to improve performance for known workloads. Which do you choose?
- Cassandra
- Bigtable
- Redis
- HBase
- range, hash
- primary, range
- hash, range
- range, secondary
- MongoDB
- Redis
- MySQL
- Cassandra
- a relational database
- a document database
- a graph database
- a ledger database